# Wiley Series in Probability and Statistics

Series Online ISSN: 1940-6347

Series DOI: 10.1002/SERIES1345

## About this Book Series

The Wiley Series in Probability and Statistics is a collection of topics of current research interests in both pure and applied statistics and probability developments in the field and classical methods. This series provides essential and invaluable reading for all statisticians, whether in academia, industry, government, or research.

- Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases
- Inference and Prediction in Large Dimensions
- Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences
- Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice
- Bayesian Networks: An Introduction
- Sample Size Determination and Power
- Bayesian Analysis for the Social Sciences
- Time Series Analysis and Forecasting by Example
- Multivariable Model-Building: A pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables
- Permutation Tests for Complex Data: Theory, Applications and Software
- Extremes in Random Fields: A Theory and its Applications
- Statistics and Causality: Methods for Applied Empirical Research
- Robust Correlation: Theory and Applications
- High-Dimensional Covariance Estimation
- Management of Data in Clinical Trials, Second Edition
- Multiple Time Series
- Linear Statistical Inference and its Applications: Second Editon
- Applications of Statistics to Industrial Experimentation
- Exploring Data Tables, Trends, and Shapes
- Geometry Driven Statistics
- Statistics: A Biomedical Introduction
- Approximation Theorems of Mathematical Statistics
- Counting Processes and Survival Analysis
- Statistical Methods for Comparative Studies: Techniques for Bias Reduction
- Measurement Errors in Surveys
- Simulation and the Monte Carlo Method
- Alternative Methods of Regression
- Aspects of Multivariate Statistical Theory
- Business Survey Methods
- Forecasting with Univariate Box-Jenkins Models: Concepts and Cases
- Planning and Analysis of Observational Studies
- Statistical Methods for Forecasting
- Loss Distributions
- Multivariate Observations
- Design and Analysis of Experiments: Advanced Experimental Design, Volume 2
- Markov Processes: Characterization and Convergence
- Measurement Error Models
- Multiple Comparison Procedures
- Multiple Imputation for Nonresponse in Surveys
- Nonlinear Statistical Models
- Stochastic Simulation
- Methods for Statistical Data Analysis of Multivariate Observations, Second Edition
- A Course in Time Series Analysis
- Nonlinear Regression Analysis and Its Applications
- Sensitivity Analysis in Linear Regression
- Smoothing and Regression: Approaches, Computation, and Application
- Empirical Model Building
- Accelerated Testing: Statistical Models, Test Plans, and Data Analysis
- Finding Groups in Data: An Introduction to Cluster Analysis
- LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics
- Periodically Correlated Random Sequences: Spectral Theory and Practice
- Statistical Methods in Engineering and Quality Assurance
- The Statistical Analysis of Failure Time Data, Second Edition
- Statistical Models and Methods for Lifetime Data, Second Edition
- Fractal-Based Point Processes
- Fundamentals of Exploratory Analysis of Variance
- Applied Spatial Statistics for Public Health Data
- Statistical Methods for the Analysis of Biomedical Data, Second Edition
- The EM Algorithm and Extensions, Second Edition
- Multivariate Density Estimation: Theory, Practice, and Visualization
- Robust Methods in Biostatistics
- Markov Processes and Applications
- Variance Components
- Modern Experimental Design
- An Introduction to Regression Graphics
- Bayesian Theory
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- Regression with Social Data: Modeling Continuous and Limited Response Variables
- Statistical Factor Analysis and Related Methods: Theory and Applications
- System Reliability Theory: Models, Statistical Methods, and Applications, Second Edition
- An Introduction to Categorical Data Analysis, Second Edition
- Preparing for the Worst: Incorporating Downside Risk in Stock Market Investments
- Introduction to Statistical Time Series, Second Edition
- Linear Statistical Models
- Categorical Data Analysis, Second Edition
- Probability and Finance: It's Only a Game!
- Analysis of Financial Time Series
- Flowgraph Models for Multistate Time-to-Event Data
- Regression Models for Time Series Analysis
- Methods of Multivariate Analysis, Second Edition
- Univariate Discrete Distributions, Third Edition
- Biostatistical Methods in Epidemiology
- Case Studies in Reliability and Maintenance
- Advanced Calculus with Applications in Statistics, Second Edition
- Longitudinal Data Analysis
- Methods and Applications of Linear Models: Regression and the Analysis of Variance
- Decision Theory
- Statistical Methods for Rates and Proportions, Third Edition
- Exploratory Data Mining and Data Cleaning
- Latent Curve Models: A Structural Equation Perspective
- Cluster Analysis, 5th Edition
- Statistical Size Distributions in Economics and Actuarial Sciences
- Precedence-Type Tests and Applications
- Statistical Design and Analysis of Experiments: With Applications to Engineering and Science, Second Edition
- Statistical Methods for Survival Data Analysis, Third Edition
- Regression Graphics: Ideas for Studying Regressions Through Graphics
- Applied Regression Including Computing and Graphics
- Comparative Statistical Inference, Third Edition
- Convergence of Probability Measures, Second Edition
- Directional Statistics
- Fractional Factorial Plans
- Quantitative Methods in Population Health: Extensions of Ordinary Regression
- Geostatistics: Modeling Spatial Uncertainty
- Applied MANOVA and Discriminant Analysis, Second Edition
- Shape & Shape Theory
- Spatial Tessellations: Concepts and Applications of Voronoi Diagrams, Second Edition
- Statistical Modeling by Wavelets
- Stochastic Dynamic Programming and the Control of Queueing Systems
- Weibull Models
- Stochastic Processes for Insurance & Finance
- Design and Analysis of Clinical Trials: Concepts and Methodologies, Second Edition
- Biostatistical Methods: The Assessment of Relative Risks
- Numerical Issues in Statistical Computing for the Social Scientist
- Planning, Construction, and Statistical Analysis of Comparative Experiments
- Statistics for Research, Third Edition
- Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches
- Theory of Preliminary Test and Stein-Type Estimation With Applications
- Biostatistics: A Methodology for the Health Sciences, Second Edition
- Simulation: A Modeler's Approach
- The Theory of Response-Adaptive Randomization in Clinical Trials
- Applied Linear Regression, Third Edition
- Modes of Parametric Statistical Inference
- Contemporary Bayesian Econometrics and Statistics
- Mathematics of Chance
- Analysis of Financial Time Series, Second Edition
- Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition
- Statistics for Spatial Data, Revised Edition
- Statistical Inference for Fractional Diffusion Processes
- Introductory Stochastic Analysis for Finance and Insurance
- Finite Mixture Models
- Continuous Multivariate Distributions: Models and Applications, Volume 1, Second Edition
- Generalized, Linear, and Mixed Models
- Random Graphs for Statistical Pattern Recognition
- Randomization in Clinical Trials: Theory and Practice
- Order Statistics, Third Edition
- Statistical Methods in Diagnostic Medicine
- Fourier Analysis of Time Series: An Introduction, Second Edition
- Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
- History of Probability and Statistics and Their Applications before 1750
- Spatial Statistics
- Applied Life Data Analysis
- Robust Statistics
- Models for Investors in Real World Markets
- Survey Errors and Survey Costs
- Discriminant Analysis and Statistical Pattern Recognition
- Nonlinear Regression
- A User's Guide to Principal Components
- Multilevel Statistical Models, 4th Edition
- Subjective and Objective Bayesian Statistics: Principles, Models, and Applications, Second Edition
- Robust Regression and Outlier Detection
- The Theory of Measures and Integration
- Introduction to Imprecise Probabilities
- Design and Analysis of Experiments: Introduction to Experimental Design, Volume 1, Second Edition
- Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties
- Clinical Trials: A Methodologic Perspective, Second Edition
- Markov Chains: Analytic and Monte Carlo Computations
- Applied Bayesian Modelling
- Analyzing Microarray Gene Expression Data
- Mixed Models: Theory and Applications
- Bayesian Analysis of Stochastic Process Models
- Image Processing and Jump Regression Analysis
- Multistate Systems Reliability Theory with Applications
- Combinatorial Methods in Discrete Distributions
- Exploration and Analysis of DNA Microarray and Protein Array Data
- Introduction to Nonparametric Regression
- Regression Analysis by Example, Fourth Edition
- The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition
- Applied Survival Analysis: Regression Modeling of Time-to-Event Data, Second Edition
- Bootstrap Methods: A Guide for Practitioners and Researchers, Second Edition
- Operational Risk: Modeling Analytics
- Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics
- Linear Models: The Theory and Application of Analysis of Variance
- Stage-Wise Adaptive Designs
- The Construction of Optimal Stated Choice Experiments: Theory and Methods
- Response Surfaces, Mixtures, and Ridge Analyses, Second Edition
- Models for Probability and Statistical Inference: Theory and Applications
- Nonparametric Statistics with Applications to Science and Engineering
- Variations on Split Plot and Split Block Experiment Designs
- Analysis of Ordinal Categorical Data, Second Edition
- Long-Memory Time Series: Theory and Methods
- Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment
- Robust Statistics: Theory and Methods
- Statistics of Extremes: Theory and Applications
- Environmental Statistics: Methods and Applications
- Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family
- Bayesian Models for Categorical Data
- Uncertainty Analysis with High Dimensional Dependence Modelling
- Financial Derivatives in Theory and Practice
- Discrete Distributions: Applications in the Health Sciences
- Structural Equation Modeling: A Bayesian Approach
- Statistical Methods in Spatial Epidemiology, Second Edition
- Bayesian Statistical Modelling, Second Edition
- Reliability and Risk: A Bayesian Perspective
- Bayesian Statistics and Marketing
- Generalized Least Squares
- Applied Bayesian Modelling
- Lévy Processes in Finance: Pricing Financial Derivatives
- Robust Statistics, Second Edition
- Statistical Rules of Thumb, Second Edition
- Causality: Statistical Perspectives and Applications
- Applied Multiway Data Analysis
- Approximate Dynamic Programming: Solving the Curses of Dimensionality
- Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods
- Handbook of Monte Carlo Methods
- Simulation and the Monte Carlo Method, Second Edition
- Methods of Multivariate Analysis, Third Edition
- Statistical Methods in Diagnostic Medicine, Second Edition
- Geostatistics: Modeling Spatial Uncertainty, Second Edition
- Modern Applied U-Statistics
- Loss Models: From Data to Decisions, Third Edition
- Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
- Random Data: Analysis and Measurement Procedures, Fourth Edition
- Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition
- Bias and Causation
- Bayes Linear Statistics: Theory and Methods
- Smoothing of Multivariate Data: Density Estimation and Visualization
- Statistical Meta-Analysis with Applications
- Statistical Tolerance Regions: Theory, Applications, and Computation
- Sampling, Third Edition
- Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence
- Multivariate Statistics: High-Dimensional and Large-Sample Approximations
- Analysis of Financial Time Series, Third Edition, Third Edition
- Runs and Scans with Applications
- Records
- A Probabilistic Analysis of the Sacco and Vanzetti Evidence
- Multivariate Statistical Simulation
- The Subjectivity of Scientists and the Bayesian Approach
- Forecasting with Dynamic Regression Models
- Bayesian Methods and Ethics in a Clinical Trial Design
- Probability: A Survey of the Mathematical Theory, Second Edition
- Leading Personalities in Statistical Sciences: From the Seventeenth Century to the Present
- Reliability: Modeling, Prediction, and Optimization
- Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition
- Empirical Model Building: Data, Models, and Reality, Second Edition
- Biostatistical Methods: The Assessment of Relative Risks, Second Edition
- Statistics for Imaging, Optics, and Photonics
- Design and Analysis of Experiments: Special Designs and Applications, Volume 3
- Time Series: Applications to Finance with R and S-Plus, Second Edition
- Statistical Methods for Quality Improvement, Third Edition
- Optimal Learning
- Approximate Dynamic Programming: Solving the Curses of Dimensionality, Second Edition
- An Elementary Introduction to Statistical Learning Theory
- A Primer on Experiments with Mixtures
- Statistical Analysis of Profile Monitoring
- Batch Effects and Noise in Microarray Experiments: Sources and Solutions
- Clinical Trial Design: Bayesian and Frequentist Adaptive Methods
- Mixtures: Estimation and Applications
- Dirichlet and Related Distributions: Theory, Methods and Applications
- Latent Variable Models and Factor Analysis: A Unified Approach, 3rd Edition
- Mixed Models: Theory and Applications with R, Second Edition
- Loss Models: Further Topics
- Applied Logistic Regression, Third Edition
- A Weak Convergence Approach to the Theory of Large Deviations
- Sequential Estimation
- Statistical Texts for Mixed Linear Models
- Geometrical Foundations of Asymptotic Inference
- An Introduction to Probability and Statistics, Second Edition
- An Introduction to Probability and Statistics, Third Edition
- Constrained Statistical Inference: Inequality, Order, and Shape Restrictions
- Randomization in Clinical Trials: Theory and Practice, Second Edition
- Visual Statistics: Seeing Data with Dynamic Interactive Graphics
- Aspects of Statistical Inference
- Robust Estimation & Testing
- Hilbert Space Methods in Probability and Statistical Inference
- Using the Weibull Distribution: Reliability, Modeling, and Inference
- Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
- Design and Analysis of Clinical Trials: Concepts and Methodologies, Third Edition
- Fast Sequential Monte Carlo Methods for Counting and Optimization
- Understanding Uncertainty
- Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition
- The Fitness of Information: Quantitative Assessments of Critical Evidence
- Lower Previsions
- Quantile Regression: Theory and Applications
- Statistical Shape Analysis, with Applications in R
- Stochastic Geometry and its Applications
- Correspondence Analysis
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
- Methodological Developments in Data Linkage