cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Lognormal Model for Insurance Claims Data
Creators: name: Zuanetti, Daiane Aparecida
name: A. R. Diniz, Carlos
name: Galvão Leite, José
Publisher: name: REVSTAT-Statistical Journal
Year: 2006

description: In the insurance area, especially based on observations of the number of claims, N(w), corresponding to an exposure w, and on observations of the total amount of claims incurred, Y (w), the risk theory arises to quantify risks and to fit models of pricing and insurance company ruin. However, the main problem is the complexity to obtain the distribution function of Y (w) and, consequently, the likelihood function used to calculate the estimation of the parameters. This work considers the Poisson(wλ), λ>0, for N(w) and lognormal(µ, σ2 ), −∞
description: REVSTAT-Statistical Journal, Vol. 4 No. 2 (2006): REVSTAT-Statistical Journal
Performance of the EM Algorithm on the Identification of a Mixture of Watson Distributions Defined on the Hypersphere
Creators: name: Figueiredo, Adelaide
name: Gomes, Paulo
Publisher: name: REVSTAT-Statistical Journal
Year: 2006

description: We consider a set of n individuals described by p standardised variables, and we suppose that the individuals are previously selected from a population and the variables are a sample of variables assumed to come from a mixture of k bipolar Watson distributions defined on the hypersphere. In this context we provide the identification of the mixture through the EM algorithm and we also carry out a simulation study to compare the maximum likelihood estimates obtained from samples of moderate size with the respective asymptotic estimates. Our simulation results revealed good performance of the EM algorithm for moderate sample sizes.
description: REVSTAT-Statistical Journal, Vol. 4 No. 2 (2006): REVSTAT-Statistical Journal
The Impact of Repeated Reading on Fluency and Comprehension
Creators: name: Maddox, Lisa
Publisher: name: Maryland Shared Open Access Repository
Year: 2011
Subjects: subject: Education -- Research papers (Graduate)

description: To see paper in its entirety contact archives@goucher.edu or call (410)337-6075.
description: The purpose of this study was to examine whether repeated reading interventions improve third grade students’ fluency and reading comprehension. Third grade students with a rating of basic in comprehension as assessed with Anne Arundel County Language Arts Benchmark 1 and at risk according to the DIBELS oral reading fluency (ORF) and retell fluency (2002) used a strategy called repeated reading (RR) over the course of four weeks. This was done in order to determine whether the technique would increase students’ fluency and comprehension of text. Pretest and posttest scores from the County Language Arts benchmark 1 and 2 (comprehension) and from the third grade passages on DIBELS ORF were compared with these of other basic students in the group who did not receive the repeated reading strategy in order to determine whether the students who read the text more than once increased their fluency and comprehension scores. The data shows that repeated reading was successful in improving students’ comprehension scores based upon differences in their pretest versus posttest performance on the Anne Arundel County Language Arts Benchmark 1 and 2. Statistically significant results were obtained for African American students only when the pretest and posttest results from the DIBELS Oral Reading Fluency and Retell assessments were compared. Research into repeated reading should continue as there was some improvement in the performance of students on an individual basis, suggesting that additional time for implementation may influence reading comprehension and fluency growth.
Improvements in the Estimation of a Heavy Tail
Creators: name: Oliveira, Orlando
name: Gomes, M. Ivette
name: Fraga Alves, M. Isabel
Publisher: name: REVSTAT-Statistical Journal
Year: 2006

description: In this paper, and in a context of regularly varying tails, we suggest new tail index estimators, which provide interesting alternatives to the classical Hill estimator of the tail index γ. They incorporate some extra knowledge on the pattern of scaled top order statistics and seem to work generally pretty well in a semi-parametric context, even for cases where a second order condition does not hold or we are outside Hall’s class of models. We shall give particular emphasis to a class of statistics dependent on a tuning parameter τ , which is merely a change in the scale of our data, from X to X/τ . Such a statistic is non-invariant both for changes in location and in scale, but compares favourably with the Hill estimator for a class of models where it is not easy to find competitors to this classic tail index estimator. We thus advance with a slight “controversial” argument: it is always possible to take advantage from a non-invariant estimator, playing with particular tuning parameters — either a change in the location or in the scale of our data —, improving then the overall performance of the classical estimators of extreme events parameters.
description: REVSTAT-Statistical Journal, Vol. 4 No. 2 (2006): REVSTAT-Statistical Journal
Statistical Evaluation of Methods for the Analysis of Dynamic Protein Expression Data From a Tumor Study
Creators: name: Jung, Klaus
name: Gannoun, Ali
name: Sitek, Barbara
name: Apostolov, Ognjan
name: Schramm, Alexander
name: E. Meyer, Helmut
name: Stühler, Kai
name: Urfer, Wolfgang
Publisher: name: REVSTAT-Statistical Journal
Year: 2006

description: In this article, we analyze time dependent protein expression data obtained from a proteome study of a neuroblastoma cell line. Neuroblastoma are common solid tumors which occur in early childhood. The expression data was obtained by difference gel electrophoresis (DIGE). It is known that the clinical outcome of neuroblastoma depends on the activation of different neurotrophin receptors by their ligands. Here, we are looking for proteome changes resulting from the activation of Tyrosine Kinase (TrkA) receptors by their ligand NGF (nerve growth factor). Before analyzing the data by longitudinal data analysis we do data preprocessing and apply a method for the imputation of missing values.
description: REVSTAT-Statistical Journal, Vol. 4 No. 1 (2006): REVSTAT-Statistical Journal
Inferring Gene Dependency Networks from Genomic Longitudinal Data: a Functional Data Approach
Creators: name: Opgen-Rhein, Rainer
name: Strimmer, Korbinian
Publisher: name: REVSTAT-Statistical Journal
Year: 2006

description: A key aim of systems biology is to unravel the regulatory interactions among genes and gene products in a cell. Here we investigate a graphical model that treats the observed gene expression over time as realizations of random curves. This approach is centered around an estimator of dynamical pairwise correlation that takes account of the functional nature of the observed data. This allows to extend the graphical Gaussian modeling framework from i.i.d. data to analyze longitudinal genomic data. The new method is illustrated by analyzing highly replicated data from a genome experiment concerning the expression response of human T-cells to PMA and ionomicin treatment.
description: REVSTAT-Statistical Journal, Vol. 4 No. 1 (2006): REVSTAT-Statistical Journal
Network Motifs: Mean and Variance for the Count
Creators: name: Matias, C.
name: Schbath, S.
name: Birmelé, E.
name: Daudin, J.-J.
name: Robin, S.
Publisher: name: REVSTAT-Statistical Journal
Year: 2006

description: Network motifs are at the core of modern studies on biological networks, trying to encompass global features such as small-world or scale-free properties. Detection of significant motifs may be based on two different approaches: either a comparison with randomized networks (requiring the simulation of a large number of networks), or the comparison with expected quantities in some well-chosen probabilistic model. This second approach has been investigated here. We first provide a simple and efficient probabilistic model for the distribution of the edges in undirected networks. Then, we give exact formulas for the expectation and the variance of the number of occurrences of a motif. Generalization to directed networks is discussed in the conclusion.
description: REVSTAT-Statistical Journal, Vol. 4 No. 1 (2006): REVSTAT-Statistical Journal
Quality Control and Low-Level Statistical Analysis of Illumina BeadArray
Creators: name: J. Dunning, Mark
name: P. Thorne, Natalie
name: Camilier, Isabelle
name: L. Smith, Michael
name: Tavaré, Simon
Publisher: name: REVSTAT-Statistical Journal
Year: 2006

description: The Illumina BeadArrayTM platform is a novel microarray technology based on randomly assembled arrays of beads. Each bead on the array carries copies of a single gene-specific probe with, on average, about 30 replicates of each bead type on an array. Given the encouraging results regarding the reproducibility of BeadArrayTM data and high profile studies already being carried out using the BeadArrayTM technology, there is likely to be an increase in the volume of BeadArrayTM data available. A major advantage of BeadArrayTM technology is the high degree of replication of beads of a given type. However, current analysis methods give summarised information for each bead type as output rather than information for each individual bead on the array. The beadarray R package is able to recreate individual bead information for arrays using raw images as input. Here, we use a particular experiment to illustrate the image processing steps used by Illumina and corresponding methods available in beadarray. Our investigations into BeadArrayTM data have demonstrated a high degree of reproducibility both within and between arrays. However, we identified some aspects of the low-level analysis that could be improved.
description: REVSTAT-Statistical Journal, Vol. 4 No. 1 (2006): REVSTAT-Statistical Journal
Non-Parametric Test for Non-Independent Noises Against a Bilinear Dependence
Creators: name: Gonçalves, E.
name: Jacob, P.
name: Mendes-Lopes, N.
Publisher: name: REVSTAT-Statistical Journal
Year: 2005

description: A new methodology, based on the asymptotic separation of probability laws, was introduced by Gonçalves, Jacob and Mendes-Lopes (2000) in the development of the statistical inference of bilinear models, namely in the construction of a consistent decision procedure for the simple bilinear ones. This paper presents a generalisation of that study by introducing in the procedure a smoother decision statistics. The aim of this decision method is to discriminate between an error process and a simple bilinear model. So, we use it as a consistent test, its consistence being obtained by establishing the asymptotic separation of the sequences of probability laws defined by each hypothesis. The convergence rate of the procedure is studied under the truthfulness of the error process hypothesis. An exponential decay is obtained.
description: REVSTAT-Statistical Journal, Vol. 3 No. 2 (2005): REVSTAT-Statistical Journal
Mixed Effects in Stochastic Differential Equation Models
Creators: name: Ditlevsen, Susanne
name: De Gaetano, Andrea
Publisher: name: REVSTAT-Statistical Journal
Year: 2005

description: A class of statistical models is proposed where random effects are incorporated into a stochastic differential equations model, and an expression for the likelihood function is derived. In general, though, it is not possible to find an explicit expression for the likelihood function, but in a very simple example it is derived and explicit maximum likelihood estimators are found. The estimators are evaluated in a simulation study, and illustrated on dissolution data of metoprolol tartrate tablets.
description: REVSTAT-Statistical Journal, Vol. 3 No. 2 (2005): REVSTAT-Statistical Journal
โครงการพัฒนารูปแบบการดำเนินงานป้องกันการฆ่าตัวตาย
Creators: name: อรวรรณ ดวงจันทร์
Publisher: name: Department of Mental Health Thailand
Year: 2548
Subjects: ฆ่าตัวตาย

description: 1, 13, Journal of Mental Health of Thailand
A Framework to Incorporate Basin Amplification Factors in the Calculation of Uniform Hazard Spectra for Canada
Creators: name: Kakoty, Preetish
name: Molina Hutt, Carlos
name: Ghofrani, H.
name: Molnar, S.
Publisher: name: The University of British Columbia
Year: 2023

description: Canada’s 2020 national seismic hazard model (CSHM 2020) provides hazard estimates for interface Cascadia Subduction Zone (CSZ) earthquakes in southwestern Canada using four ground motion models (GMMs) with equal weights. Two out of the four GMMs were derived from data primarily from subduction earthquakes in Japan so their use in Canada’s national seismic hazard model includes a “Japan-to-Cascadia” factor to account for local site conditions. Despite this regional factor, the GMMs do not explicitly consider basin amplification effects from the Georgia sedimentary basin beneath Metro Vancouver. This study benchmarks ground motion shaking from a suite of 30 physics-based simulations of M9 CSZ earthquake scenarios, which explicitly account for the basin effects by means of a 3D velocity model, to corresponding estimates from CSHM 2020. Using this comparison, this study proposes site-specific and period-dependent basin amplification factors for a range of sites located within the Georgia sedimentary basin. A framework to incorporate the basin amplification factors in uniform hazard spectra (UHS) is also proposed. The modified UHS estimates are approximately 13% and 23% higher in the 1-5s period range, with respect to reference sites located in the basin-edge and outside of the basin, respectively, when compared to non-basin UHS.
ความรู้และเจตคติของพระสงฆ์ต่องานสุขภาพจิต จังหวัดน่าน
Creators: name: นิศานาถ สารเถื่อนแก้ว
name: อุบลรัตน์ จันต๊ะโมกข์
Publisher: name: Department of Mental Health Thailand
Year: 2549
Subjects: ความรู้,เจตคติ,พระสงฆ์,สุขภาพจิต

description: 1, 14, Journal of Mental Health of Thailand
Direct Reduction of Bias of the Classical Hill Estimator
Creators: name: Caeiro, Frederico
name: Gomes, M. Ivette
name: Pestana, Dinis
Publisher: name: REVSTAT-Statistical Journal
Year: 2005

description: In this paper we are interested in an adequate estimation of the dominant component of the bias of Hill’s estimator of a positive tail index γ, in order to remove it from the classical Hill estimator in different asymptotically equivalent ways. If the second order parameters in the bias are computed at an adequate level k1 of a larger order than that of the level k at which the Hill estimator is computed, there may be no change in the asymptotic variances of these reduced bias tail index estimators, which are kept equal to the asymptotic variance of the Hill estimator, i.e., equal to γ 2 . The asymptotic distributional properties of the proposed estimators of γ are derived and the estimators are compared not only asymptotically, but also for finite samples through Monte Carlo techniques.
description: REVSTAT-Statistical Journal, Vol. 3 No. 2 (2005): REVSTAT-Statistical Journal
Analysis of Dynamic Protein Expression Data
Creators: name: Jung, Klaus
name: Gannoun, Ali
name: Sitek, Barbara
name: E. Meyer, Helmut
name: Stühler, Kai
name: Urfer, Wolfgang
Publisher: name: REVSTAT-Statistical Journal
Year: 2005

description: Difference gel electrophoresis (DIGE) is the new gold standard analysing complex protein mixtures in proteomics. It is used for measuring the expression levels of proteins in different mixtures on the same two-dimensional electrophoresis (2-DE) gel. In this paper we review a method for the calibration and normalization of those protein expression measurements. Further we show how to find treatment effects and time-treatment-interactions in longitudinal data obtained from DIGE experiments. A problem in those data sets is the existence of a lot of missing values. Therefore, we propose a method for the estimation of missing data points.
description: REVSTAT-Statistical Journal, Vol. 3 No. 2 (2005): REVSTAT-Statistical Journal
Machine Learning for Enhanced Seismic Damage Assessment of Buildings
Creators: name: Kourehpaz, Pouria
name: Molina Hutt, Carlos
Publisher: name: The University of British Columbia
Year: 2023

description: Adopting policies for seismic risk mitigation and enhancing community resilience is conditioned on accurate seismic risk assessments. This article proposes a machine learning based framework to estimate a building’s post-earthquake damage state using ground motion intensity measures and structural properties as model inputs. The machine learning algorithms evaluated, namely, Logistic Regression, K-Nearest Neighbors, Decision Tree, Random Forest, AdaBoost, and Gradient Boosting are trained using a dataset of nonlinear response history analysis results from 36 detailed modern reinforced concrete shear wall building structural models, ranging from four to 24- stories, subjected to ~500 empirical and simulated ground motion records with a range of shaking intensities. The results suggest that the Gradient Boosting technique is the most efficient algorithm by achieving a prediction success (F1-score) of 87%. The proposed framework is also retrained to identify collapse instances, by leveraging synthetic data samples, considering multiple collapse thresholds. By means of synthetic data, on average, the Gradient Boosting technique increased the percentage of observed collapse cases that are correctly classified from 76% to 93%.
likelihood approach to diagnostic tests in clinical medicine
Creators: name: De Bragança Pereira, Basílio
name: De Bragança Pereira, Carlos Alberto
Publisher: name: REVSTAT-Statistical Journal
Year: 2005

description: This paper presents a pure likelihood approach to statistical inference and its relation to diagnostic tests in clinical medicine. The standard antagonistic frequentist approaches of Fisher and Neyman–Pearson–Wald, and the Bayesian perspective are discussed. We advocate that in medicine, usually, the likelihood is the only source of information available. Also, it is shown that there is no difference of interpretation of the concept of likelihood in statistics and in clinical diagnostic tests. This contradicts what is usually stated.
description: REVSTAT-Statistical Journal, Vol. 3 No. 1 (2005): REVSTAT-Statistical Journal
Prediction of treatments effects in a biased allocation model
Creators: name: J.M. Magalhães, Fernando
Publisher: name: REVSTAT-Statistical Journal
Year: 2005

description: Robbins and Zhang [15] provide consistent estimators of multiplicative treatment effects under a biased treatment allocation scheme, and illustrate their methodology within Poisson and binomial models. Here we use predictive criteria to assess the differential treatment effects, and develop predictive distributions for the Poisson errors in variables models. With a hierarchical prior structure, various approximations are investigated, and an illustrative example is included.
description: REVSTAT-Statistical Journal, Vol. 3 No. 1 (2005): REVSTAT-Statistical Journal
Exact formulas for the moments of the first passage time of reward processes
Creators: name: Parham, G.A.
Publisher: name: REVSTAT-Statistical Journal
Year: 2005

description: Let {Zρ(t), t ≥ 0} be a reward process based on a semi-Markov process {J (t), t ≥ 0} and a reward function ρ. Let Tz be the first passage time of {Zρ(t), t ≥ 0} from Zρ(0) = 0 to a prespecified level z. In this article we provide the Laplace transform of the E[T k z ] and obtain the exact formulas for ETz, ET 2 z and var(Tz). Formulas for certain type I counter models are given.
description: REVSTAT-Statistical Journal, Vol. 3 No. 1 (2005): REVSTAT-Statistical Journal
Asymptotic behaviour of regular estimators
Creators: name: Diebolt, Jean
name: Guillou, Armelle
Publisher: name: REVSTAT-Statistical Journal
Year: 2005

description: The P.O.T. (Peaks-Over-Threshold) approach consists of using the generalized Pareto distribution (GPD) to approximate the distribution of excesses over thresholds. We use the maximum likelihood estimators, or some other ones satisfying regularity conditions, to estimate the parameters of the approximating distribution. We study the asymptotic bias of these estimators and also the functional bias of the estimated GPD.
description: REVSTAT-Statistical Journal, Vol. 3 No. 1 (2005): REVSTAT-Statistical Journal
Robustness of two-phase regression tests
Creators: name: A.R. Diniz, Carlos
name: Corte Brochi, Luis
Publisher: name: REVSTAT-Statistical Journal
Year: 2005

description: This article studies the robustness of different likelihood ratio tests proposed by Quandt ([1]) and ([2]), (Q-Test), Kim and Siegmund ([3]), (KS-Test), and Kim ([4]), (K-Test), to detect a change in simple linear regression models. These tests are evaluated and compared with respect to their performance taking into account different scenarios, such as, different error distributions, different sample sizes, different locations of the change point and departure from the homoscedasticity. Two different alternatives are considered: i) with a change in the intercept from one model to the other with the same slope and ii) with a change in both the intercept and slope. The simulation results reveal that the KS-Test is superior to the Q-Test for both models considered while the K-Test is more powerful than the other two tests for nonhomogeneous models with a known variance.
description: REVSTAT-Statistical Journal, Vol. 3 No. 1 (2005): REVSTAT-Statistical Journal
Extremal behaviour in models of superposition of random variables
Creators: name: Pereira, Luísa
Publisher: name: REVSTAT-Statistical Journal
Year: 2004

description: Let X(i) ={Xgi(n)}n≥1, i= 1, 2, be sequences of random variables, where {gi(n)}n≥1 are disjoint and strictly increasing sequences of integer numbers such that {g1(n)}n≥1 ∪ {g2(n)}n≥1 = N. Using superposition of point processes, we study the extremal behaviour of a superposed sequence {Xn}n≥1 = {Xg1(n)}n≥1 ∪ {Xg2(n)}n≥1 , where we consider the proportion of variables superposed from each sequence asymptotically constant and {Xn}n≥1 verifying some dependence conditions. We apply the obtained results in the computation of the bivariate extremal index.
description: REVSTAT-Statistical Journal, Vol. 2 No. 2 (2004): REVSTAT-Statistical Journal
Extensions of Katz-Panjer families of discrete distributions
Creators: name: D. Pestana, Dinis
name: F. Velosa, Sílvio
Publisher: name: REVSTAT-Statistical Journal
Year: 2004

description: Let Nα, β, γ be a discrete random variable whose probability atoms {pn }n∈N satisfy f(n+1) f(n) = α + β E(U n 0 ) E(U n γ ) , n= 0, 1, ..., for some α, β ∈ R, where Uγ ⌢Uniform(γ, 1), γ ∈ (−1, 1]. When γ → 1, Uγ → U1 , the degenerate random variable with unit mass at 1, and the above iterative expression is pn+1 pn = α + β n+1 for n = k, k+1, ..., used by Katz and by Panjer (k = 0), by Sundt and Jewell and by Willmot (k = 1) and, for general k ∈ N, by Hess, Lewald and Schmidt. We investigate the case Uγ ⌢Uniform(γ, 1) with γ ∈ (−1, 1) in detail for α = 0. We then construct classes Cγ of discrete infinitely divisible randomly stopped sums such that N0, β, γ ∈ Cγ . C0 is the class of compound geometric random variables, C1 is the class of compound Poissons, and |γ1 |< γ2 ≤ 1 implies Cγ1 ⊂ Cγ2 ⊆ C1.
description: REVSTAT-Statistical Journal, Vol. 2 No. 2 (2004): REVSTAT-Statistical Journal
Central partition for a partition-distance and strong pattern graph
Creators: name: Pinto Da Costa, Joaquim F.
name: Rao, P.R.
Publisher: name: REVSTAT-Statistical Journal
Year: 2004

description: When several clustering algorithms are applied to a dataset E or the same algorithm with different parameters, we get several different partitions of the dataset. In this paper we consider the problem of finding a consensus partition between the set of these partitions. This consensus partition, called central partition, minimises the average number of disagreements between all of the partitions and has been considered for instance in [14, 5] in a different context from ours. We consider it in the context of partition-distance defined in [7]. We focus our attention in two particular distance functions between partitions and then do an experimental comparison between the two corresponding central partitions. In addition, by using the concept of strong patterns (maximal subset of elements that are always clustered together in all partitions), we define a new graph where the nodes are the strong patterns. This graph contains essentially the same information as the partition graph corresponding to the set E defined in [7], but is much simpler as the number of strong patterns is expected to be much smaller than the cardinal of E. Then, some properties of this new graph are proved.
description: REVSTAT-Statistical Journal, Vol. 2 No. 2 (2004): REVSTAT-Statistical Journal
title: Impacts of School-Based Agricultural Education on the Resilience of Senior Appalachian High School Students Living in Economically Disadvantaged Counties in Kentucky and Virginia
Creators: name: Ruth D. Toole
Publisher: name: University of Kentucky Libraries
Year: 2025
Subjects: classificationCode: 5.9
subject: FOS: Other social sciences

description: Students in Central Appalachia, particularly those in economically disadvantaged (ED) counties, may face unique risks related to their geographic and socioeconomic circumstances. However, school-based and youth development programs have been shown to foster resilience among youth. This convergent mixed-methods study aimed to explore whether involvement in School-Based Agricultural Education (SBAE) can enhance youth resilience. Data were collected through a resilience questionnaire and semi-structured focus group interviews, which were analyzed, interpreted, and integrated to uncover key findings. Results indicated that participants living in ED areas exhibited relatively high resilience scores. Focus group discussions revealed that, despite the challenges they face, participants generally had a positive life outlook and identified protective factors linked to their involvement in SBAE. The merged findings demonstrated alignment between participants' resilience levels and their experiences in SBAE. The study concludes with recommendations for SBAE educators to strengthen resilience among students and suggests avenues for future research to further examine how SBAE can contribute to youth resilience, especially in ED communities.
description: © 2025 Ruth D. Toole
title: HyReKa
title: HyReKa
titleType: AlternativeTitle
Creators: name: Exner, Martin
name: Schwartz, Thomas
name: Rapp, Bastian E.
name: Strobel, Claudia
Publisher: name: My University
Year: 2020

description: Die Verbreitung von Antibiotika-resistenten (ARBs) Bakterien mit klinisch relevanten Antibiotikaresistenzgenen (ARGs) aus anthropogenen Quellen stellt ein zunehmendes Problem dar. Aus Bereichen mit hohem Antibiotikaverbrauch, wie z.B. der Klinik, der Tierzucht oder â€Ì bei einigen Arten - einfach aus kolonisierten Individuen gelangen diese Bakterien über unzureichend oder nicht gereinigte Abwässer in die aquatische Umwelt und können von dort, auf verschiedenen Wegen wieder zurück zum Menschen, zu Nutztieren oder auf Nutzpflanzen gelangen, z. B. über Bewässerungswässer (Gekenidis et al., 2018), über Kontakt mit Oberflächenwasser im Rahmen der Freizeitnutzung (Leonard et al., 2018) oder Lebensmittel: So wurden kürzlich z. B. Antibiotika-resistente Bakterien aus Lebensmitteln wie frischem, in Deutschland gekauftem, Koriander (Blau et al., 2018) oder Fleischprodukten (Müller et al., 2018) isoliert. Im Rahmen des HyReKA-Verbundprojekts war zu klären, in welchem Ausmaß, Antibiotika-resistente Bakterien bzw. deren Antibiotikaresistenzgene in die Umwelt und damit auch zu Menschen/Tier gelangen und auch von dort aus dem Erwerben und die Verbreitung von Antibiotikaresistenzen bei klinisch relevanten Bakterien beeinflussen können. Mögliche Rückkopplungen aus dem Umweltbereich zurück zum Menschen, sei es in Klinken oder in Alltagsbereichen im Kontakt mit Wasser oder kontaminierten Lebensmitteln, sollten daher aufgezeigt werden, um Wege der Verbreitung der Risikobakterien zu unterbrechen und damit Hotspot des Auftretens zu reduzieren. Das Ziel einer Vermeidungsstrategie muss sein, die Kolonisierung von Mensch und Tier mit diesen kritischen und Risiko-behafteten Bakterien durch einen direkten Kontakt zu verhindern. Quelle: https://www.ifg.kit.edu
Local fitting with a power basis
Creators: name: Einbeck, Jochen
Publisher: name: REVSTAT-Statistical Journal
Year: 2004

description: Local polynomial modelling can be seen as a local fit of the data against a polynomial basis. In this paper we extend this method to the power basis, i.e. a basis which consists of the powers of an arbitrary function. Using an extended Taylor theorem, we derive asymptotic expressions for bias and variance of this estimator. We apply this method to a simulated data set for various basis functions and discuss situations where the fit can be improved by using a suitable basis. Finally, some remarks about bandwidth selection are given and the method is applied to real data.
description: REVSTAT-Statistical Journal, Vol. 2 No. 2 (2004): REVSTAT-Statistical Journal
Supplementary document for Polarization-guided road detection network for LWIR DoFP camera - 5509664.pdf
Creators: name: Li, Ning
name: Zhao, Yongqiang
name: Wu, Rongyuan
name: Pan, Quan
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: supplementary material on detailed theoretical analysis and additional results
The Effects of Preschool Attendance on First Grade Reading Achievement
Creators: name: Benson, Jillian
Publisher: name: Maryland Shared Open Access Repository
Year: 2011
Subjects: subject: Education -- Research papers (Graduate)

description: To see paper in its entirety contact archives@goucher.eud or call (410)337-6075.
description: The purpose of this causal-comparative study was to determine if different types of preschool experiences had a differential effect upon students‟ reading achievement when compared with the reading achievement of students who have had no preschool experience. The participants in this study were enrolled in a public school located in Anne Arundel County, Maryland, for the 2010-2011 school year. Both DIBELS and Running Record scores were collected from the September and January assessments for the 37 participants. An analysis of variance was run for both DIBELS (Nonsense Word Fluency and Oral Reading Fluency) and Running Records (Oral Fluency and Comprehension). The findings indicated that there was not a statistically significant difference in the performance of students who attended private preschool, versus the performance of those who attended public or no preschool programs. Future studies should consider including more participants and including participants from a variety of geographic areas.
Roots & Migrants (v0)
Creators: name: Nwajiaku, Chiamaka
name: Koylu, Caglar
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 440303
subject: Migration
classificationCode: 440399
subject: Demography not elsewhere classified
classificationCode: 440607
subject: Population geography
classificationCode: 390106
subject: Geography education curriculum and pedagogy

description: Roots & Migrants is a free-to-use story map application developed to enhance public scientific literacy and engagement with respect to historical population dynamics and migration through visual storytelling. This tool is designed with a user-friendly interface that makes it accessible to individuals with little or no GIS (Geographic Information Systems) or cartography background. Roots & Migrants was developed using a user-centered approach including a collaborative workshop with high school teachers and students. This version is a preliminary version and the latest version is attached as a related material. Feedback from the workshop offered insights from both high school students and teachers with regard to content, design, and potential curriculum activities. By integrating this tool into high school curricula, the tool aims to promote historical awareness and a deeper understanding of the role of population dynamics in shaping the United States.
Never Forget
Creators: name: Gil, Rebecca
Publisher: name: Maryland Shared Open Access Repository
Year: 2007
Subjects: Research -- Periodicals.
Humanities -- Research -- Periodicals.
Social sciences -- Research -- Periodicals.

description: Listening to a Holocaust survivor’s story can be a very difficult thing to do. This paper was written at the conclusion of Goucher’s Oral History of the Holocaust course. I had the pleasure of interviewing Mrs. Raden, a retired teacher who has touched the lives of many different people. She told my section of the class her tale of survival and hope. The paper addresses different aspects of the class and the experience of preparing for the interview, interviewing and performing the stories of Holocaust survivors. I wanted to address the importance of this class and the impact that students can make by taking part in it. All of my grandparents are Holocaust survivors and I have found that when I listen to other people’s experiences I learn more about my family and myself.
description: http://blogs.goucher.edu/verge/4-2/
Green Wood?: Sustainable Forestry and the Forest Stweardship Council Introduction
Creators: name: Margulies, Jared
Publisher: name: Maryland Shared Open Access Repository
Year: 2007
Subjects: Research -- Periodicals.
Humanities -- Research -- Periodicals.
Social sciences -- Research -- Periodicals.

description: For the final research paper component of my study abroad program through Antioch College on Brazilian ecosystems, biodiversity, and resource management, I chose to write on the subject of sustainable forest management and The Forest Stewardship Council, perhaps the most well-known and rigorous "sustainable wood" certifier. I put the term “sustainable wood” in quotes because the conclusions I came to while researching the efficacy and very ability of FSC certification to protect tropical forests indicate that FSC certification in fact ensures very little, other than the continued destruction of some of the world’s last remaining tropical rainforests and all of the beauty and biodiversity contained within. For this paper, I relied mainly on research by other biologists, ecologists and economists, though I also conducted some primary research during a one-week stay at Precious Woods Amazon, a FSC certified logging camp located in Itacoatiara, Brazil. During my time there, I was able to gain valuable insight into the inner-workings of Precious Woods (PWA’s Swiss parent company), and I saw first hand the living conditions of their workers, their methods of timber extraction, and their overall impact on this particular section of the Amazon rain forest. While I certainly draw on my qualitative observations from my time spent at PWA in this paper, other more credible scientists have gone much further in measuring the impacts of sustainable forest management on tropical forests. Since I wrote this paper, FSC certification has started to appear on wood around the world, including timber in large hardware stores like The Home Depot. For the time, it appears the FSC will continue to certify tropical woods and people will continue to buy it, though nearly all research indicates that in no way does FSC certification ensure sustainable forest management. This of course begs the question, is sustainable forest management even possible given our world’s unquenchable desire for tropical hardwoods? Unfortunately, there is little evidence to indicate so. While I was infuriated when I first heard a well-respected conservation biologist conclude a lecture by saying, “the only successful form of conservation is guns and fences,” for the time, he may be correct. Until we as a global community can begin the difficult task of scaling down our voracious exploitation of the world’s natural resources, little, if nothing else, will ensure the protection of our tropical forests.
description: http://blogs.goucher.edu/verge/4-2/
Estimation Pareto tail index based on sample means
Creators: name: Fialová, Alena
name: Jurečková, Jana
name: Picek, Jan
Publisher: name: REVSTAT-Statistical Journal
Year: 2004

description: We propose an estimator of the Pareto tail index m of a distribution, that competes well with the Hill, Pickands and moment estimators. Unlike the above estimators, that are based only on the extreme observations, the proposed estimator uses all observations; its idea rests in the tail behavior of the sample mean X¯n, having a simple structure under heavy-tailed F. The observations, partitioned into N independent samples of sizes n, lead to N sample means whose empirical distribution function is the main estimation tool. The estimator is strongly consistent and asymptotically normal as N → ∞, while n remains fixed. Its behavior is illustrated in a simulation study.
description: REVSTAT-Statistical Journal, Vol. 2 No. 1 (2004): REVSTAT-Statistical Journal
Changes of structure in financial time series and the Garch model
Creators: name: Mikosch, Thomas
name: Stărică, Cătălin
Publisher: name: REVSTAT-Statistical Journal
Year: 2004

description: In this paper we propose a goodness of fit test that checks the resemblance of the spectral density of a GARCH process to that of the log-returns. The asymptotic behavior of the test statistics are given by a functional central limit theorem for the integrated periodogram of the data. A simulation study investigates the small sample behavior, the size and the power of our test. We apply our results to the S&P500 returns and detect changes in the structure of the data related to shifts of the unconditional variance. We show how a long-range dependence type behavior in the sample ACF of absolute returns might be induced by these changes.
description: REVSTAT-Statistical Journal, Vol. 2 No. 1 (2004): REVSTAT-Statistical Journal
The Effect of Parental Involvement on Reading Comprehension
Creators: name: Greaver, Lauren
Publisher: name: Maryland Shared Open Access Repository
Year: 2011
Subjects: subject: Education -- Research papers (Graduate)

description: To see paper in its entirety contact archives@goucher.edu or call (410)337-6075.
description: The purpose of this study was to determine whether parent involvement would improve reading comprehension of prekindergarten students over a four week period. The measurement tool was an informal reading inventory assessment. This study involved the use of a pretest/post-test design to compare data between the control and experimental groups from March 2011 to April 2011. The analysis revealed that parental involvement had no impact on student reading achievement. Both the experimental and control groups experienced significant increases in their reading scores. The results of this study were likely due to student maturation and direct classroom instruction. Further research regarding the effects of parental involvement should be conducted to determine the long term benefits of improving student achievement.
Simultaneous tail index estimation
Creators: name: Beirlant, Jan
name: Goegebeur, Yuri
Publisher: name: REVSTAT-Statistical Journal
Year: 2004

description: The estimation of the extreme-value index γ based on a sample of independent and identically distributed random variables has received considerable attention in the extreme-value literature. However, the problem of combining data from several groups is hardly studied. In this paper we discuss the simultaneous estimation of tail indices when data on several independent data groups are available. The proposed methods are based on regression models linking tail related statistics to the extreme-value index and parameters describing the second order tail behaviour. For heavy-tailed distributions (γ >0), estimators are derived from an exponential regression model for rescaled log-spacings of successive order statistics as described in Beirlant et al. (1999) and Feuerverger and Hall (1999). Estimators for γ ∈ R are obtained using the linear model for UH-statistics given in Beirlant et al. (2000). In both cases, the optimal number of extremes to be used in the estimation is derived from the asymptotic mean squared error matrix.
description: REVSTAT-Statistical Journal, Vol. 2 No. 1 (2004): REVSTAT-Statistical Journal
The Effects of Brain-Based Instructional Strategies on Third Grade Vocabulary Retention
Creators: name: Burns, Meaghan
Publisher: name: Maryland Shared Open Access Repository
Year: 2011
Subjects: subject: Education -- Research papers (Graduate)

description: To see paper in its entirety contact archives@goucher.edu or call (410)337-6075.
description: The purpose of this study was to determine whether the use of brain-based instructional
strategies would positively impact third graders’ vocabulary acquisition. Brain-theorists propose
that using physical movement during instruction engages the brain and allows for optimal
learning to occur. Although this theory is widely supported in the field of brain-based education,
there is little empirical evidence to support the use of movement to improve vocabulary
retention. To examine the effectiveness of the brain-based strategy of movement, this study
utilized a pre-test/post-test design. A sample of 9 third-grade students received traditional
vocabulary instruction and was pre-tested. The same group of students then participated in a
Brain Gym exercise prior to vocabulary instruction and was post-tested. The t-test results
revealed a statistically significant difference between student performance on the pre-test and the
post-test. This indicates that incorporating movement prior to vocabulary instruction is
beneficial in improving student vocabulary acquisition. Therefore, the researcher concluded that
brain-based instructional strategies have a positive impact on vocabulary learning.
The Relationship Between Core Strength and Sports Performance
Creators: name: Colfer, Caitlin
Publisher: name: Maryland Shared Open Access Repository
Year: 2011
Subjects: subject: Education -- Research papers (Graduate)

description: To see paper in its entirety contact archives@goucher.edu or call (410)337-6075.
description: The purpose of the study was to determine whether core strength would increase overall
sports performance. The research was to determine if women could produce more force
production when kicking and throwing a soccer ball as a result of increased core strength. A test
created by the researcher was used based on previous research to measure adequate core
strength. The study was quasi-experimental and used a pre-test and post-test design. The results
of the current study supported the null hypothesis and show no statistical significance based on
the results of the tests. Based on the results of the study, further research would have to be done
to examine the relationship between core strength and sports performance.
Exponentiality versus generalized Pareto — a resistant and robust test
Creators: name: Brilhante, M. F.
Publisher: name: REVSTAT-Statistical Journal
Year: 2004

description: Using resistant and robust methods we propose the statistic Tn = (FU −M)/(M −FL) for testing exponentiality versus generalized Pareto, where FU , FL and M are, respectively, the upper and lower fourths and the median of a random sample of size n. The statistic Tn is based on the statistic Vn = (Xn:n−M)/(M −X1:n) used by Gomes (1982) to discriminate extremal models in a similar context but with a higher breakdown point. The simulated power of Tn is compared with the simulated power of Un =Xn:n/M and Vn, which can also be used to test the exponential behaviour of the sample data. Although we observe that the power of Tn is lower than the power of Un and Vn, we show that the performance of the first test is better than the performance of the two other tests when compared to broadened situations and mixtures commonly used to evaluate resistance and robustness.
description: REVSTAT-Statistical Journal, Vol. 2 No. 1 (2004): REVSTAT-Statistical Journal
An Analytical Framework to Assess Earthquake Induced Downtime and Model Recovery of Buildings
Creators: name: Molina Hutt, Carlos
name: Vahanvaty, T.
name: Kourehpaz, Pouria
Publisher: name: The University of British Columbia
Year: 2023

description: This paper describes a framework to probabilistically model the post-earthquake recovery of buildings and provide quantitative seismic performance measures for buildings, expressed in terms of downtime. The framework allows us to model temporal building recovery trajectories to target recovery states such as stability, shelter-in-place, reoccupancy, and functional recovery. The shelter-in-place recovery state accounts for relaxed post-earthquake habitability standards, in contrast with the reoccupancy recovery state which relates to pre-event habitability criteria. The framework uses impeding factor estimates and repair sequencing methodologies informed by observations from the 1994 Northridge and the 2010-2011 Christchurch earthquakes. The framework permits probabilistically evaluating building robustness by estimating the probability of a building not achieving a target recovery state, e.g., shelter-in-place, immediately after the earthquake, or, alternatively, evaluates the building rapidity by estimating the probability of achieving a target recovery state, e.g., functional recovery, within a specified time frame.
The Effect of Integrated Movement on the Achievement of First Grade Students
Creators: name: Baillie, Nicole
Publisher: name: Maryland Shared Open Access Repository
Year: 2011
Subjects: subject: Education -- Research papers (Graduate)

description: To see paper in its entirety contact archives@goucher.edu or call (410)337-6075.
description: The purpose of this study was to determine whether integrated movement used during the
teaching of a math unit affects the math achievement of first grade students in the classroom. The
measurement tool was the Baltimore City Math Works Curriculum Unit Assessment. This study
involved the use of a pretest/posttest design with an experimental group and a control group to
compare data from February (before the intervention was implemented) to March of 2011 (after
the intervention was complete). Achievement gains were inconclusive, though results could be
attributed to a number of extraneous factors. Research in the area of integrated movement and its
effects on achievement should continue, given that most of the existing research involves
physical education programs outside of the regular classroom.
Random-Effects Log-Linear Model with Poisson Distributions
Creators: name: Seco, Maria Alexandra
name: St. Aubyn, António
Publisher: name: REVSTAT-Statistical Journal
Year: 2003

description: In several applications data are grouped and there are within-group correlations. With continuous data, there are several available models that are often used; with counting data, the Poisson distribution is the natural choice. In this paper a mixed log-linear model based on a Poisson–Poisson conditional distribution is presented. The initial model is a conditional model for the mean of the response variable, and the marginal model is formed thereafter. Random effects with Poisson distribution are introduced and a variance-covariance matrix for the response vector is formed embodying the covariance structure induced by the grouping of the data.
description: REVSTAT-Statistical Journal, Vol. 1 No. 1 (2003): REVSTAT-Statistical Journal