bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trains of African Easterly Waves and Their Relationship to Tropical Cyclone Genesis in the Eastern Atlantic
Authors: Dieng Abdou L. , Sall Saidou M. , Eymard Laurence , Leduc-Leballeur Marion , Lazar Alban 
Published: August 2016

AbstractIn this study, the relationship between trains of African easterly waves (AEWs) and downstream tropical cyclogenesis is studied. Based on 19 summer seasons (July–September from 1990 to 2008) of ERA-Interim reanalysis fields and brightness temperature from the Cloud User Archive, the signature of AEW troughs and embedded convection are tracked from the West African coast to the central Atlantic. The tracked systems are separated into four groups: (i) systems originating from the north zone of the midtropospheric African easterly jet (AEJ), (ii) those coming from the south part of AEJ, (iii) systems that are associated with a downstream trough located around 2000 km westward (termed DUO systems), and (iv) those that are not associated with such a close downstream trough (termed SOLO systems).By monitoring the embedded 700-hPa-filtered relative vorticity and 850-hPa wind convergence anomaly associated with these families along their trajectories, it is shown that the DUO generally have stronger dynamical structure and statistically have a longer lifetime than the SOLO ones. It is suggested that the differences between them may be due to the presence of the previous intense downstream trough in DUO cases, enhancing the low-level convergence behind them. Moreover, a study of the relationship between system trajectories and tropical depressions occurring between the West African coast and 40°W showed that 90% of tropical depressions are identifiable from the West African coast in tracked systems, mostly in the DUO cases originating from the south zone of the AEJ.
Use of Out-Dated Frames in Large Scale Sample Surveys
Authors: Seal K.C. 
Published: August 2016

Summary In planning a large scale sample survey it is often found that the available frame from which the sample could be drawn is not up-to-date. In a dynamic population the sample thus drawn does not usually provid~ unbiased estimates of the population characteristics existing during the period of the survey. Unless some adjustments are made on the data collected during the survey, estimate of any population characteristic would be somewhat biased. In this paper some simple methods have been suggested on the basis of a reasonable birth and death process (for taking into account the changing population) which could be easily worked out in most of the practical situations. Some illustrations explaining the suggested methods have also been given.
Analysis of a Class of Two­Way Designs with Recovery of Inter­Row and Inter­Column Information
Authors: Kshirsagar A. M. , Ranganathan S. 
Published: August 2016

Summary Kurkjian, Zelen and Federer have given the analysis of a class of incomplete block designs and two­way designs by using their calculus of factorial arrangements. The incidence matrices of the designs considered by them possess a certain structural property ; they refer to it as property (A). They, however, have given only the intra­block or intra­row and column analysis. In this paper, the combined intra and inter­row and column analysis of two­6way designs possessing property (A) is derived. In addition, explicit expressions for estimates of the inter­row and intercolumn variances are also obtained and particular designs where the rows and columns form P.B.I.B or GD designs are also considered for the sake of illustration.
A Class of Tests for the Dispersive-Equivalence of two Probability Distributions
Authors: Marzec Leszek , Marzec Pawel 
Published: August 2016

Based on independent random samples from two absolutely continuous distributions, asymptotically distribution-free and consistent tests are proposed for testing that two distributions are identical except for an unknown location parameter against the alternative that one is dispersive ordered with respect to the other. These tests are based on weighted combinations of ratios of spacings. AMS 1980 Subject Classification: Primary 62Gl0, secondary 62G30.
On the Decomposition of Empirical Processes in Sampling with Replacement into Sufficient and Ancillary Components
Authors: Sengupta Dbbapriya 
Published: August 2016

The randomness in SRSWR sampling scheme has two components: the choice of distinct units and their repetitions. Basu (1958) invoked the notion of sufficiency in this framework showing that the distinct units behave like a sufficient statistic in usual sense. Going one step ahead we can call the repetitions of the distinct units ‘ancillary’ since they do not contain any information about population characteristics. It is s.bown that the above fact is reflected in an interesting way in the behaviour of empirical processes in large samples. In large samples such a break-up of variability is similar to the celebrated theorem of Basu (1955). AMS ( 1980) Subject Classification: Primary 60007; Secondary 62DOS, 62CIS
An NN Classification Rule for Multiple Observations
Authors: Bagui Subhash C. 
Published: August 2016

We consider the problem of classifying multiple ( m) observations into one of two populations using a nearest neighbor ( NN) type rule. We derive the limiting risk R( m) of the proposed NN rule. For m = 2, we obtain an improved upper bound for R( m) and show that R( m) ⩽ R( m-I) for m = 2, 3. AMS (1980) Subject classification: Primary 62H30; Secondary 62F15.
First Order Rotatable Designs with Correlated Errors (Fordwce)
Authors: Panda Rajendra Nath , Das Rabindra Nath 
Published: August 2016

Rotatability as a desirable condition for fitting a responss surface was formally introduced by Box and Hunter (1957) who also derived the rotatability conditions (on the design matrix), assuming the errors to be homoscedastic. However, it is not uncommon to come across practical situations where tho errors are correlated, violating the usual assumptions. In this paper we confine to a first order (linear) regression model with correlated errors. We examine the concept of rotatability of this model and emphasize on properties such as weak rotatability of underlying designs. Various FORDs are examined and their robustness studied. Cost consideration also leads to interesting comparisons.
Construction of Variance Balanced Designs through Triangular PBIB Designs
Authors: Ghosh D.K. , Joshi K. S. 
Published: August 2016

Several authors have obtained variance balanced (VB) and ternary variance balanced ( V B) designs using balanced incomplete block (BIB) designs and group divisible (GD) designs. In the present investigation, another systematic methods have been developed for the construction of VB designs using A Triangular PBIB design and an incomplete block design where the blocks of the incomplete block design are formed by taking the second associate treatments of the given triangular PBIB design. Two Triangular PBIB designs. The methods of construction of VB designs are further illustrated by examples.
Robust Second Order Rotatable Designs Part II (RSORD)
Authors: Das Rabindra Nath 
Published: August 2016

This paper is a sequel to Daa (1997} wherein a study of robust second order rotatable designs with correlated errors was initiated. Second order rotatability conditions were derived for general correlated error structure and special cases were examined under autocorrelated structure of errors. Here we examine robustness of usual second order rotatable designs i.e., those with uncorrelated errors ( SORD's) with emphasis on properties such as weak rotatability (arising in the context of correlated error structure}, with due consideration of the cost involved.
Estimating Perception of Distance : Applied Sequential Methodologies in Experimental Psychology
Authors: Mukhopadhyay Nitis 
Published: August 2016

Summary An eyewitness's description of a missing criminal, for example, is very crucial for apprehending the individual. But, some accounts may be unreliable if it turned out that the witness was ‘far away’ from a crime scene. Estimation of the perception of “distance” can be an important input in many situations including this one. We ran a number of designed experiments, collected data, and analyzed them in order to understand how individuals perceived “distance”. These experiments and associated data analyses have some clear messages: When a subject was asked to guess the length of an object such as a straight line or a ruler, we found time and again that one's answer routinely depended upon (i) presence or absence of landmarks or reference points, and (ii) what one had thought that was being shown rather than what the true item really was. More investigations in experimental psychology are deemed essential in one's thorough understauding of human perception of “distance”.
An Extension of the Lack of Memory Property with Characterization Results
Authors: Roy Dilip 
Published: August 2016

Summary In the reliability analysis the lack of memory property plays a pivotal role in conceptualizing some life distribution classes and in unique determination of the exponential distribution. On the other hand quite a few results like constancy of the coefficient of variation of the residual life, linearity of the mean residual life characterize the exponential distribution along with the Lomax distribution. Question that arises is - can there be an extended version of the lack of memory property to tie together the exponential and the Lomax distributions through characterization. The present paper presents an affirmative claim and extends the lack of memory property based on standardization technique. It also presents a stochastic version of this extended property with unique determination of the same life distributions. Attempts have also been made to define this extended lack of memory property in the bivariate set up and indicate the bivariate distributions that satisfy the same.
Detailed Classification Problem
Authors: Banerjee Kaustav 
Published: August 2016

Summary The classification problem is concerned with allocation of new observations on several variables to two or more distinct categories known to exist a priori, on the basis of some pre-solved cases. Most of the existing solutions to the problem lack detailed inference with respect to the outcomes of the concerned random experiment. An alternative procedure is therefore suggested from frequentist viewpoint, involving relative credentials placed on the different candidate groups in terms of betting odds. The underlying theory was introduced in Chatterjee and Chattopadhyay(1993), the present study being an app lication towards the classification problem. Performance of the proposed ruie has been studied for some real-life examples through discriminant analysis.
Exact Density of W Classification Statistic Based on Unmatched Training Sample from Correlated Populations
Authors: Bandyopadhyay Subhadip , Bandyopadhyay Shibdas 
Published: August 2016

Summary A unit is to be classified into one of two correlated homoscedastic normal populations by W classification statistic. The two populations are like two different states of a disease. A sample unit can be observed in both the states (populations) . The observations made on the same unit in the two populations are correlated. W is based on an unmatched training sample where N sample units are observed in both the populations and Ni- N units are observed in population i, i = 1, 2. The exact density of W in such set up is derived for unknown means and common dispersion matrix where the correlation linking the populations is known or unknown. Simulated density of W is plotted and probability of correct classification (PCC) is evaluated using simulation.
Optimal Crossover Designs for Comparing Mixed Carryover Effects
Authors: Saharay Rita , Shah Kirti R. 
Published: August 2016

In this paper we consider a variant of the traditional noncircular model for crossover designs. Instead of assuming that ea.Ch treatment - applied to an experimental unit imparts the same carryover effect regardless of the treatment applied to the next period on the same unit, we consider the model which assumes two types of carryover effects that extend from a period to the next period. One type is called self carryover effect when a treatment is followed by itself in the next period on the same unit and the other type is called mixed carryover effect when a treatment is followed by any other treatment in the next period. Such models are useful in sensory trials. Efficient estimation and testing of the direct treatment effects (imparted by the treatment itself on the experimental unit of application) as well as the carryover effects under different models are of interest to the practitioners from application and model building point of view and have been addressed by many researchers. In the present article the problem of identification of optimal designs for the estimation of the mixed carryover effects has been taken up. It is shown that under the self and mixed carryover model generalised Patterson's balanced designs (termed also totally balanced designs in the literature}, which are known to be universally optimal for the estimation of the direct treatment effects are also universally optimal for the estimation of the mixed carryover effects provided that the number of periods exceeds two. AMS (2000} Subject Classification : 62K05.
Hidden Truncation and Additive Components : Two Alternative Skewing Paradigms
Authors: Arnold Barry C. , Gómez Héctor W. 
Published: August 2016

The two parameter skew-normal distribution can be viewed as having arisen from a standard normal density by hidden truncation or by an additive component construction. It is of interest to determine whether the two skewing mechanisms can yield the same asymmetric distribution when applied to other symmetric or asymmetric distributions. It is conjectured that the phenomenon only occurs in the normal case. In other cases, hidden truncation and additive components typically lead to different families of skewed distributions. Some examples are provided to illustrate the phenomenon. AMS (2000) Subject Classification : 60E05, 62E10.
Parametric Estimation of Quality Adjusted Lifetime (QAL) Distribution for two General Illness-Death Models
Authors: Pradhan Biswabrata , Dewanji Anup 
Published: August 2016

In this work, we consider the parametric estimation of quality adjusted lifetime (QAL) distribution for two general illness-death models, namely, competing illness-death model and reversible illness-death model. The first model is progressive and involves multiple states, while the second one incorporates possibility of recovery. The main focus of this paper is to derive the theoretical distribution of QAL for the two illness-death models, under some parametric models for the sojourn time distributions in different states. The QAL distribution is then estimated by replacing the parameters in its theoretical expression by the corresponding estimates obtained by using standard survival analysis techniques. The performance of the estimator is investigated through a simulation study. AMS (2000) Subject Classification : 62N02
Paired Sample Tests with Unordered Observations
Authors: Banerjee Kaustav , Chattopadhyay Gaurangadeb , Banerjee Tathagata 
Published: August 2016

The problem of testing equality of means of a bivariate normal distribution on the basis of a sample of size n has been considered when the labels of the observations are not known. Two tests based on the sample moments of absolute values of the differences of the observations in each pair are suggested. Their power properties are investigated. It is interesting to observe that for small values of the parameter one is more powerful than the other while for larger values it is the other way around. AMS (2000) Subject Classification : 62F03, 62P10.
A Binary Choice Model with Heterogeneous Errors
Authors: Nadarajah Saralees 
Published: August 2016

Abtsrcat The common assumption with binary choice models is that the errors arise from identical Gumbel distributions. This gives rise to the well known logistic model. In this note, we consider the case when the errors have non—identical Gumbel distributions. We derive explicit expressions for distributional properties of the resulting model, consider estimation issues and illustrate an application to some real data.
On Uncorrelated Linear Functions of Order Statistics of Independent But not Identically Distributed Random Variables
Authors: Sajeevkumar N.K. 
Published: August 2016

Abtsrcat In this paper the correlation between the pooled sample mean and certain linear functions of order statistics of independent non-identically distributed(inid) random variables are obtained for pooled sample from pop- ulations with common location parameter μ and common scale parameter σ and the results if the parent distributions are symmetric about the common location parameter μ are derived therefrom.
Estimation Methods in Evaluation and Design of Reliable Networks: Applications and Scope
Authors: Sharma Megha 
Published: August 2016

Abtsrcat Reliable networks are the ones that take the failure prone nature of network elements into account. They are used to model a wide variety of real life problems. There are two interesting research problems in the area of reliable networks, the problem of quanitfying the network performance in terms of a performance metric, and given a performance metric, the problem of designing a reliable network that meets certain prespecified design criteria. Both of these problems are NP-hard, therefore exact solution methods are of limited use. Real life instances of these problems are solved using Monte Carlo estimation methods. In this paper, we review the various Monte Carlo methods used for estimating the performance of a reliable network and point out directions for future research.
Variable Selection Procedure for Discrimination Between two Multinormal Populations with Common Dispersion Matrix Proportional to a Known Positive Definite Matrix
Authors: Samanta Sisir Kumar 
Published: August 2016

Abtsrcat A stepwise procedure is described for selecting a suitable sub-set of characters for discriminating between two multivariate normal populations with a common dispersion matrix which is an unknown scalar multiple of a known positive denite positive denite matrix. The procedure assumes with a prescribed condence coecient that the distance based on the subset of selected variables is not less than a prescribed proportion of the distance based on all variables. The procedure is consistent in natural sense.
Estimation of Parameters of Uniform Distribution Based on K-Record Values
Authors: M. Shy Mary , Chacko Manoj 
Published: August 2016

Abtsrcat There are many situations where experimental outcomes are a sequence of record-breaking observations. In this paper, an extension of record models, well known as k-records, is considered. The best linear unbiased estimators (BLUEs) for the location and scale parameters of the uniform distribution are derived using k-record values. In addition, best linear invariant estimators of two parameter uniform distribution are obtained on the basis of k-record values. We have also determined the e�ciency of BLUEs relative to maximum likelihood estimators (adjusted for bias). The best linear unbiased predictor of future k-record values is also determined.
Baltic Sea Peracarids Diurnal Activity Data : Issues On Multiple Imputation in Overdispersed Poisson Regression Model and Model Selection
Authors: Harel Ofer , Liu Junfeng , Dey Dipak 
Published: August 2016

Abtsrcat In this paper, we consider the diurnal (day time) activities of peracarisdis in Baltic sea. The peracaridis is a large group of malacostracan crustaceans, having members in marine, freshwater, and terrestrial habitats. They are defined by the possession of a single pair of maxillipeds (rarely 2-3), of mandibles with an articulated accessory process between the molar and incisor teeth in the adults (called the lacinia mobilis), and of a carapace which is often reduced in size and is not fused with the posterior thoracic somites. The experimental data is given in Janson and Kallander (1968). In this study, the animals are caught by sweeping a net over a known distance and fixed time intervals. The total number of caught along with various covariates are recoded. The data is missing some responses and some covariates. In view of that we develop Bayesian approaches for modeling overdispersed Poisson data in the context of regression problem in presence of missing data. We handle the missing data problems through various multiple imputation schemes and take a Bayesian route for model selection to determine the appropriate scheme for the given data.
Estimation of the Scale Parameter of Skew-Normal Distribution Using U-Statistics Based on Order Statistics
Authors: Thomas P. Yageen , Baiju K.V. 
Published: August 2016

Abtsrcat In this work, we obtain the best linear unbiased estimator based on order statistics for the scale parameter of skew-normal distribution for some known values of the shape parameter. We also propose a technique for estimating the scale parameter of skew-normal distribution by U-statistics based on best linear functions of order statistics as kernels. The efficiency comparison of the proposed U-statistics with the maximum likelihood esti- mator is also carried out.
Some Symmetry Models for the Analysis of Collapsed Square Contingency Tables with Ordered Categories
Authors: Yamamoto Kouji , Tahata Kouji , Tomizawa Sadao 
Published: August 2016

Abtsrcat For the square contingency tables with ordered categories, there may be some cases that one wants to analyze them by considering collapsed tables with some adjacent categories combined in the original table. This paper considers some symmetry models for collapsed square contingency tables and proposes two new models which have the structure of global symmetry and that of quasi-symmetry for the collapsed square tables. Also this paper gives two kinds of decompositions of the symmetry model for collapsed square tables. The new models and decompositions are useful for analyzing the collapsed square tables. Examples are given.
A Test for Equality of Marginals of Fgm Family of Bivariate Distributions Using Unordered Pairs
Authors: Banerjee Kaustav , Chattopadhyay Gaurangadeb , Banerjee Tathagata 
Published: August 2016

Abtsrcat A test for equality of marginal distributions of Farlie-Gumbel-Morgenstern (FGM) family of bivariate distributions is proposed on the basis of a paired sample of size n, when the labels of the observations are not known. The test has desirable power properties and is an improvement over the test prescribed by Davies and Phillips [1988]. The test is illustrated with some interesting real-life applications.
Two-Stage Estimation Procedure for the Parameter of U (θ,mθ) Distribution
Authors: Patil H.S. 
Published: August 2016

Abtsrcat In the literature, an extensive work on sequential fixed width confidence interval (CI) for the parameter of U(0, θ) model is available. In this article we propose a two-stage fixed width (1 − α) level sequential CI for the parameter θ of U( θ, mθ) distribution, where m > 1 is known, based on the large-sample approximation of coverage probability.