yusuke1997/dblp-id-title huggingface dataset:
Interplay Between Physics and Statistics for Modeling Optical Fiber Bandwidth
Response Surface Optimization in the Presence of Internal Noise With Application to Optimal Alignment of Carbon Nanotubes
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models
Statistical Aspects of Health and the Environment, 4
Statistical Analysis of Categorical Data
Handbook of Chemometrics and Qualimetrics, Part B
Testing Multiple Dispersion Effects in Unreplicated Fractional Factorial Designs
Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment
Workshop Statistics: Discovery With Data and Minitab
Nonparametric Monitoring of Data Streams for Changes in Location and Scale
Phase I Analysis of Linear Profiles With Calibration Applications
A Primer for Sampling Solids, Liquids, and Gases
Nearly-Isotonic Regression
Applied Multivariate Data Analysis
The EM Algorithm and Related Statistical Models
Projections of Definitive Screening Designs by Dropping Columns: Selection and Evaluation
Selecting 2 m-p Designs Using a Minimum Aberration Criterion When Some Two-Factor Interactions Are Important
Dual-Orthogonal Arrays for Order-of-Addition Two-Level Factorial Experiments
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The Handbook of Applied Acceptance Sampling: Plans, Procedures, and Principles
Generalized Computer Model Calibration for Radiation Transport Simulation
Generalized Additive Models: An Introduction With R
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Advanced Fuzzy Logic Technologies in Industrial Applications
A Decomposition Strategy for the Variational Inference of Complex Systems
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Statistics With Applications in Biology and Geology
A General Class of Parametric Models for Recurrent Event Data
Foundations of Info-Metrics (Modeling, Inference and Imperfect Information)
Sparse PCA for High-Dimensional Data With Outliers
Thinking Statistically (Elephants Go to School)
Quality and Reliability of Technical Systems: Theory, Practice, Management
Probabilistic and Randomized Methods for Design Under Uncertainty
Latent Variable Models and Factor Analysis
Advances in Latent Variables: Methods, Models and Applications
Fraud Detection in Telecommunications: History and Lessons Learned
Functional Regression Control Chart
Theory for Optimal Test Plans for the Random Fatigue-Limit Model
A Casebook for Spatial Statistical Data Analysis
Resolution Adaptive Fixed Rank Kriging
Statistics for Experimenters: Design, Innovation and Discovery
Maximum Likelihood Estimation for Stochastic Differential Equations Using Sequential Gaussian-Process-Based Optimization
Elements of Copula Modeling With R
A User-Friendly Guide to Multivariate Calibration and Classification
Lectures on Categorical Data Analysis
A Functional Time Warping Approach to Modeling and Monitoring Truncated Degradation Signals
R Graphics
Inference for the Optimum Using Linear Regression Models with Discrete Inputs
In Memoriam: William H. Lawton
A Least Angle Regression Control Chart for Multidimensional Data
Optimal Reliability Modeling: Principles and Applications
Constrained Bayesian Optimization with Lower Confidence Bound
The Uncertainty of Storm Season Changes: Quantifying the Uncertainty of Autocovariance Changepoints
Improving on Estimation for the Generalized Pareto Distribution
Measuring the Software Process
A Manager's Guide to the Design and Conduct of Clinical Trials
A Note on Nonnegative DoIt Approximation
Announcement of 2012 Hunter Award
An Efficient Sampling Technique for Bayesian Inference With Computationally Demanding Models
Robust Parameter Design of Multiple-Target Systems
Probabilistic Networks and Expert Systems
Chemometrics: Data Analysis for the Laboratory and Chemical Plant
Detecting Deviating Data Cells
Measurement and Multivariate Analysis
Nonparametric Control Charts for Monitoring Serial Dependence based on Ordinal Patterns
The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping
Dynamic Reliability Models for Software Using Time-Dependent Covariates
Probabilistic Risk Analysis - Foundations and Methods
Matrix Discriminant Analysis With Application to Colorimetric Sensor Array Data
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Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, 2nd ed
Control Chart Tests Based on Geometric Moving Averages
Adaptive Forecast-Based Monitoring for Dynamic Systems
Tukey's Paper After 40 Years
Efficient Sparse Estimate of Sufficient Dimension Reduction in High Dimension
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Robust Function-on-Function Regression
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Material Degradation Modeling and Failure Prediction Using Microstructure Images
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Eliciting Factor Importance in a Designed Experiment
R for Political Data Science: A Practical Guide
Field-Failure and Warranty Prediction Based on Auxiliary Use-Rate Information
Into Statistics: A Guide to Understanding Statistical Concepts in Engineering and the Sciences
Adaptive Design of Experiments for Conservative Estimation of Excursion Sets
Workshop Statistics: Discovery With Data, A Bayesian Approach
World Class Reliability
Robustness in Statistical Pattern Recognition
Directional Statistics of Preferential Orientations of Two Shapes in Their Aggregate and Its Application to Nanoparticle Aggregation
Multivariate Statistical Process Control with Industrial Applications
Bayesian Validation of Computer Models
Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes
Composite Response Surface Designs for Factors With Jointly Symmetric Effects
The Essence of Multivariate Thinking
Simulation and the Monte Carlo Method (3rd ed.)
A Class of Experimental Designs for Estimating a Response Surface and Variance Components
A Multivariate Change-Point Model for Statistical Process Control
Bayesian Analysis of Split-Plot Experiments With Nonnormal Responses for Evaluating Nonstandard Performance Criteria
Using Orthogonal Arrays in the Sensitivity Analysis of Computer Models
Statistical Methods for Communication Science
Geostatistics for Natural Resources Evaluation
A Scalable Gaussian Process for Large-Scale Periodic Data
Bayesian Inference for Sensitivity Analysis of Computer Simulators, With an Application to Radiative Transfer Models
Optimal Designs for Order-of-Addition Two-Level Factorial Experiments
Precedence-Type Tests and Applications
A Note on Visualizing Response Transformations in Regression
Federated Multi-Output Gaussian Processes
A Distribution-Free Bayesian Approach for Determining the Joint Probability of Failure of Materials Subject to Multiple Proof Loads
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing
Modern Statistics for Engineering and Quality Improvement
Comparisons of Approximate Confidence Interval Procedures for Type I Censored Data
Variable Selection for Gaussian Process Models in Computer Experiments
Shape Descriptors for Classification of Functional Data
Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation
Robust Probabilistic Multivariate Calibration Model
Regression Recalibration by Learning PIT Map Values
A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes
A Two-Stage Bayesian Model Selection Strategy for Supersaturated Designs
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A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation
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Spatial Ecology and Conservation Modeling: Applications With R
Bayesian Treed Multivariate Gaussian Process With Adaptive Design: Application to a Carbon Capture Unit
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Robust Low-Rank Approximation of Data Matrices With Elementwise Contamination
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Strata Design for Variance Reduction in Stochastic Simulation
A Global Selection Procedure for Polynomial Interpolators
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Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference, and PredictionKao-Tai Tsai, Boca Raton, FL: CRC Press, Taylor & Francis Group, LLC, 2022, xiii + 260 pp., $ 88.00, ISBN: 978-1-032-06536-6 (H)
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Design and Analysis of Two-Level Factorial Experiments With Partial Replication
A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control
Stochastic Polynomial Interpolation for Uncertainty Quantification With Computer Experiments
Applied Multivariate Methods for Data Analysis
Functional ANOVA in Computer Models With Time Series Output
Mastering Data Mining
Comment: Alternative Strategies for Experimental Design
Novelty and Primacy: A Long-Term Estimator for Online Experiments
Design of Experiments and Other Six Sigma Related Methods Explained and Derived
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing
A Handbook of Statistical Analyses Using Stata
A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output
Handbook of Statistics 15: Robust Inference
Semiparametric Regression with R: by Jaroslaw Harezlak, David Ruppert, and Matt P. Wand. Springer, 2018, ISBN: 978-1-4939-8853-2, xi + 331 pp., eBook, $87.20
An Adaptive Exponentially Weighted Moving Average Control Chart
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Variance Components Estimation: Mixed Models, Methodologies and Applications
Smoothing Spline ANOVA Models
Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field
On Nonparametric Image Registration
Blocked Designs for Experiments With Correlated Non-Normal Response
Design and Modeling Strategies for Mixture-of-Mixtures Experiments
Robust Design of Measurement Systems
Box on Quality and Discovery With Design, Control, and Robustness
Bayesian Prediction Intervals and Their Relationship to Tolerance Intervals
COMPSTAT: Proceedings in Computational Statistics, 2000
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Handbook of Item Response Theory, Statistical Tools, Volume 2,
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Comment: DoIt - Some Thoughts on How to Do It
A Method for Designing Nonlinear Univariate Calibration
Calibration of Stochastic Computer Simulators Using Likelihood Emulation
Split-Plot and Multi-Stratum Designs for Statistical Inference
Robust Experimental Design for Multivariate Generalized Linear Models
Process Improvement in the Electronics Industry
Comment: Properties and Practicalities of the Expected Quantile Improvement
A Framework for Validation of Computer Models
Practical Strategies for Experimenting
Selection of Two-Level Supersaturated Designs for Main Effects Models
Model Selection and Inference
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Handbook of Regression Modeling in People Analytics: With Examples in R and Python,
Calculated Bets
Drift versus Shift: Decoupling Trends and Changepoint Analysis
Space-Filling Designs for Robustness Experiments
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Blocked Nonregular Two-Level Factorial Designs
The Measurement of Association: A Permutation Statistical Approach
Probability Applications in Mechanical Design
The Use of Plackett-Burman Designs to Construct Split-Plot Designs
Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic
Logit Models From Economics and Other Fields
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
A Graphical Multi-Fidelity Gaussian Process Model, with Application to Emulation of Heavy-Ion Collisions
Discovering the Nature of Variation in Nonlinear Profile Data
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, 2nd ed.: Wayne L. Winston, Scott Nestler, and Konstantinos Pelechrinis, Princeton University Press, 2022, 608 pp., $24.95, ISBN: 9780691177625
Modeling and Evaluating Repeatability and Reproducibility of Ordinal Classifications
Statistics in the Pharmaceutical Industry
Modified Semiparametric Maximum Likelihood Estimator in Linear Regression Analysis With Complete Data or Right-Censored Data
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data
Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs
Experimental Design Techniquesin Statistical Practice: A Practical Software-Based Approach
Optimal Response Surface Designs for Detection and Minimization of Model Contamination
Design and Analysis of Experiments on Nonconvex Regions
Quality Makes Money
Multistratum Response Surface Designs
A Bayesian Nonparametric Mixture Measurement Error Model With Application to Spatial Density Estimation Using Mobile Positioning Data With Multi-Accuracy and Multi-Coverage
2ˆ5 Problems for STEM Education
Measurement Models for Psychological Attributes: by Klaas Sijtsma, and Andries L. van der Ark, Boca Raton, FL, CRC Press, Taylor & Francis Group, Chapman and Hall, 2020, 428 pp., 50 b/w illustrations, $79.95 (pbk), ISBN 978-0-367-42452-7
Online Updating of Computer Model Output Using Real-Time Sensor Data
Restricted Likelihood Ratio Tests for Functional Effects in the Functional Linear Model
The Efficiencies of Fractional Factorial Designs
Actuarial Theory for Dependent Risks: Measures, Orders, and Models
Large Factorial Designs for Product Engineering and Marketing Research Applications
On Censoring Time in Statistical Monitoring of Lifetime Data
Applied Sequential Methodologies: Real-World Examples With Data Analysis
Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier
Anomaly Detection in Large-Scale Networks With Latent Space Models
A Unified Analysis of Structured Sonar-Terrain Data Using Bayesian Functional Mixed Models
Model Misspecification of Generalized Gamma Distribution for Accelerated Lifetime-Censored Data
An Intrinsic Geometrical Approach for Statistical Process Control of Surface and Manifold Data
Six Sigma and Beyond: The Implementation Process
Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner, 1st ed. Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner, 1st ed. , Dothang Truong, CRC Press Taylor & Francis Group, 2024. IX + 565 pages, £59,99 (hbk) ISBN: 978-0-367-75538-6 (hbk). Boca Raton and Abingdon. Scope: Textbook. Level: Students, lecturers, researchers, and industry professionals from various backgrounds.: Dothang Truong, CRC Press Taylor & Francis Group, 2024. IX + 565 pages, £59,99 (hbk) ISBN: 978-0-367-75538-6 (hbk). Boca Raton and Abingdon. Scope: Textbook. Level: Students, lecturers, researchers, and industry professionals from various backgrounds
Blocking Schemes for Definitive Screening Designs
Diagnostics for the Scale of Functional Predictors in Generalized Linear Models
An Invariant Approach to Statistical Analysis of Shapes
Context-Based Statistical Process Control - A Monitoring Procedure for State-Dependent Processes
Smoothing Balanced Single-Error-Term Analysis of Variance
Adventures in Recreational Mathematics, Vol. 2, ISBN 978-981-122-651-9
Statistical Group Comparison
A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data
Length Bias in the Measurements of Carbon Nanotubes
Derivative Based Global Sensitivity Analysis and Its Entropic Link
Using BART to Perform Pareto Optimization and Quantify its Uncertainties
Reliability Improvement with Design of Experiments
Practical Multivariate Analysis (6th ed.)
Prediction of Future Failures for Heterogeneous Reliability Field Data
Degradation-Based Burn-In Planning Under Competing Risks
On Modeling and Forecasting Time Series of Smooth Curves
Handbook of Statistics 17: Order Statistics-Applications
The Art of Causal Conjecture
Technometrics 2019 Editor's Report
A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification
Closed-Loop System Identification for Small Samples With Constraints
Analyzing Rater Agreement
Tuning Variable Selection Procedures by Adding Noise
Methods for Identifying Dispersion Effects in Unreplicated Factorial Experiments - A Critical Analysis and Proposed Strategies
Design and Analysis: A Researcher's Handbook
A Bayesian Statistical Approach for Inference on Static Origin-Destination Matrices in Transportation Studies
Statistical Methods for Reliability Data, Second Edition,
Generalized Least Squares
Practical Experiment Designs for Engineers and Scientists
The Theory of Dispersion Models
Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional DataPost-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data, Syed Ejaz Ahmed, Feryaal Ahmed, and Bahadir Yüzbaşı, New York: Chapman and Hall/CRC Press, 2023, 408 pp., ISBN 9780367763442
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Advances in Data Science and Analytics: Concepts and Paradigms (1st ed.): edited by M. Niranjanamurthy, Hemant Kumar Gianey, and Amir H. Gandomi, Beverly, MA: Scrivener Publishing, 2023, 353 pp., $165.22-$181.70 (HardCover), ISBN 9781119791881
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Targeted Variance Reduction: Effective Bayesian Optimization of Black-Box Simulators with Noise Parameters
Monotonic Metamodels for Deterministic Computer Experiments
Some Applications of Functional Networks in Statistics and Engineering
Debunking Seven Terrorism Myths Using Statistics
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Principles of Biostatistics: by Marcello Pagano, Kimberlee Gauvreau, and Heather Mattie, CRC Press, Boca Raton, FL, 2022, 620 pp., $79.95, ISBN 9780429340512
A Multifidelity Function-on-Function Model Applied to an Abdominal Aortic Aneurysm
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A Hierarchical Model for Heterogenous Reliability Field Data
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models
An Adaptive, Automatic Multiple-Case Deletion Technique for Detecting Influence in Regression
Using Statistical and Computer Models to Quantify Volcanic Hazards
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization
Sequential Bayesian Design for Accelerated Life Tests
Causation, Prediction, and Search
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Sequence Analysis and Related Approaches: Innovative Methods and Applications
Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data
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Data Analytics for Process Engineers; Prediction, Control, and Optimization Data Analytics for Process Engineers; Prediction, Control, and Optimization Daniela Galatro and Stephen Dawe, Cham: Springer, 2024, 145 pp., €32.09 (eBook), ISBN: 978-3-031-46866-7: Daniela Galatro and Stephen Dawe, Cham: Springer, 2024, 145 pp., €32.09 (eBook), ISBN: 978-3-031-46866-7
Incorporating Covariates in Flowgraph Models: Applications to Recurrent Event Data
Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model
Applied Survival Analysis
Remaining Useful Life Prediction Based on Forward Intensity
Robust Parameter Design With Feed-Forward Control
A Technical Note on "Sample Size Determination for Achieving Stability of Double Multivariate Exponentially Weighted Moving Average Controller"
Detecting Influential Observations in Single-Index Fréchet Regression
Comment: Some Statistical Concerns on Dimensional Analysis
Spatial Statistics and Computational Methods
A Parallel EM Algorithm for Model-Based Clustering Applied to the Exploration of Large Spatio-Temporal Data
Comment: Dimensional Analysis and Experimentation as a Catalyst to Learning From Data
Foreword: The Enduring Tradition of Technometrics
Reliability, Yield and Stress Burn-in: A Unified Approach for Microelectronics Systems Manufacturing and Software Development
Variable Selection in Additive Models Using P-Splines
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space
Engineering Reliability
Modeling Conditional Distributions for Functional Responses, With Application to Traffic Monitoring via GPS-Enabled Mobile Phones
Modality-Constrained Density Estimation via Deformable Templates
Applied Microbiome Statistics Correlation, Association, Interaction and Composition, 1st ed: Yinglin Xia and Jun Sun, Boca Raton and Oxon: CRC Press Taylor & Francis Group, 2024, 456 pp., 46 Color & 5 B/W Illustrations, £140.00 ISBN 978-0-367-63970-9. Scope: Text in Biostatistics Series. Level: academics, students, researcher, and practitioners
Transformation and Additivity in Gaussian Processes
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Boundary Detection Using a Bayesian Hierarchical Model for Multiscale Spatial Data
Introduction to Regression Analysis
Modern Data Science with R (2nd ed.): by Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton, Boca Raton, FL: Chapman and Hall/CRC Press, 2021, 650 pp., $99.95 (Hardback), ISBN: 978-0-36-719149-8
Malware Detection Using Nonparametric Bayesian Clustering and Classification Techniques
Linear Models, Least Squares and Alternatives
Split Regularized Regression
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Class Maps for Visualizing Classification Results
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