Wiley Series in Probability and Statistics

Cover Image

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.

Books in this Series

  1. Inference and Prediction in Large Dimensions
  2. Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice
  3. Bayesian Networks: An Introduction
  4. Bayesian Analysis for the Social Sciences
  5. Multivariable Model-Building: A pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables
  6. Permutation Tests for Complex Data: Theory, Applications and Software
  7. Extremes in Random Fields: A Theory and its Applications
  8. High-Dimensional Covariance Estimation
  9. Management of Data in Clinical Trials, Second Edition
  10. Multiple Time Series
  11. Linear Statistical Inference and its Applications: Second Editon
  12. Applications of Statistics to Industrial Experimentation
  13. Exploring Data Tables, Trends, and Shapes
  14. Statistics: A Biomedical Introduction
  15. Approximation Theorems of Mathematical Statistics
  16. Counting Processes and Survival Analysis
  17. Statistical Methods for Comparative Studies: Techniques for Bias Reduction
  18. Measurement Errors in Surveys
  19. Simulation and the Monte Carlo Method
  20. Alternative Methods of Regression
  21. Aspects of Multivariate Statistical Theory
  22. Business Survey Methods
  23. Forecasting with Univariate Box-Jenkins Models: Concepts and Cases
  24. Planning and Analysis of Observational Studies
  25. Statistical Methods for Forecasting
  26. Loss Distributions
  27. Multivariate Observations
  28. Design and Analysis of Experiments: Advanced Experimental Design, Volume 2
  29. Markov Processes: Characterization and Convergence
  30. Measurement Error Models
  31. Multiple Comparison Procedures
  32. Multiple Imputation for Nonresponse in Surveys
  33. Nonlinear Statistical Models
  34. Stochastic Simulation
  35. Methods for Statistical Data Analysis of Multivariate Observations, Second Edition
  36. A Course in Time Series Analysis
  37. Nonlinear Regression Analysis and Its Applications
  38. Sensitivity Analysis in Linear Regression
  39. Smoothing and Regression: Approaches, Computation, and Application
  40. Empirical Model Building
  41. Accelerated Testing: Statistical Models, Test Plans, and Data Analysis
  42. Finding Groups in Data: An Introduction to Cluster Analysis
  43. LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics
  44. Periodically Correlated Random Sequences: Spectral Theory and Practice
  45. Statistical Methods in Engineering and Quality Assurance
  46. The Statistical Analysis of Failure Time Data, Second Edition
  47. Statistical Models and Methods for Lifetime Data, Second Edition
  48. Fractal-Based Point Processes
  49. Fundamentals of Exploratory Analysis of Variance
  50. Applied Spatial Statistics for Public Health Data
  51. Statistical Methods for the Analysis of Biomedical Data, Second Edition
  52. The EM Algorithm and Extensions, Second Edition
  53. Multivariate Density Estimation: Theory, Practice, and Visualization
  54. Robust Methods in Biostatistics
  55. Markov Processes and Applications
  56. Variance Components
  57. Modern Experimental Design
  58. An Introduction to Regression Graphics
  59. Bayesian Theory
  60. Markov Decision Processes: Discrete Stochastic Dynamic Programming
  61. Regression with Social Data: Modeling Continuous and Limited Response Variables
  62. Statistical Factor Analysis and Related Methods: Theory and Applications
  63. System Reliability Theory: Models, Statistical Methods, and Applications, Second Edition
  64. An Introduction to Categorical Data Analysis, Second Edition
  65. Preparing for the Worst: Incorporating Downside Risk in Stock Market Investments
  66. Introduction to Statistical Time Series, Second Edition
  67. Linear Statistical Models
  68. Categorical Data Analysis, Second Edition
  69. Probability and Finance: It's Only a Game!
  70. Analysis of Financial Time Series
  71. Flowgraph Models for Multistate Time-to-Event Data
  72. Regression Models for Time Series Analysis
  73. Methods of Multivariate Analysis, Second Edition
  74. Univariate Discrete Distributions, Third Edition
  75. Biostatistical Methods in Epidemiology
  76. Case Studies in Reliability and Maintenance
  77. Advanced Calculus with Applications in Statistics, Second Edition
  78. Longitudinal Data Analysis
  79. Methods and Applications of Linear Models: Regression and the Analysis of Variance
  80. Decision Theory
  81. Statistical Methods for Rates and Proportions, Third Edition
  82. Exploratory Data Mining and Data Cleaning
  83. Latent Curve Models: A Structural Equation Perspective
  84. Cluster Analysis, 5th Edition
  85. Statistical Size Distributions in Economics and Actuarial Sciences
  86. Precedence-Type Tests and Applications
  87. Statistical Design and Analysis of Experiments: With Applications to Engineering and Science, Second Edition
  88. Statistical Methods for Survival Data Analysis, Third Edition
  89. Regression Graphics: Ideas for Studying Regressions Through Graphics
  90. Applied Regression Including Computing and Graphics
  91. Comparative Statistical Inference, Third Edition
  92. Convergence of Probability Measures, Second Edition
  93. Directional Statistics
  94. Fractional Factorial Plans
  95. Quantitative Methods in Population Health: Extensions of Ordinary Regression
  96. Geostatistics: Modeling Spatial Uncertainty
  97. Applied MANOVA and Discriminant Analysis, Second Edition
  98. Shape & Shape Theory
  99. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams, Second Edition
  100. Statistical Modeling by Wavelets
  101. Stochastic Dynamic Programming and the Control of Queueing Systems
  102. Weibull Models
  103. Stochastic Processes for Insurance & Finance
  104. Design and Analysis of Clinical Trials: Concepts and Methodologies, Second Edition
  105. Biostatistical Methods: The Assessment of Relative Risks
  106. Numerical Issues in Statistical Computing for the Social Scientist
  107. Planning, Construction, and Statistical Analysis of Comparative Experiments
  108. Statistics for Research, Third Edition
  109. Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches
  110. Theory of Preliminary Test and Stein-Type Estimation With Applications
  111. Biostatistics: A Methodology for the Health Sciences, Second Edition
  112. Simulation: A Modeler's Approach
  113. The Theory of Response-Adaptive Randomization in Clinical Trials
  114. Applied Linear Regression, Third Edition
  115. Modes of Parametric Statistical Inference
  116. Contemporary Bayesian Econometrics and Statistics
  117. Mathematics of Chance
  118. Analysis of Financial Time Series, Second Edition
  119. Statistical Inference for Fractional Diffusion Processes
  120. Introductory Stochastic Analysis for Finance and Insurance
  121. Finite Mixture Models
  122. Continuous Multivariate Distributions: Models and Applications, Volume 1, Second Edition
  123. Generalized, Linear, and Mixed Models
  124. Random Graphs for Statistical Pattern Recognition
  125. Randomization in Clinical Trials: Theory and Practice
  126. Order Statistics, Third Edition
  127. Statistical Methods in Diagnostic Medicine
  128. Fourier Analysis of Time Series: An Introduction, Second Edition
  129. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
  130. History of Probability and Statistics and Their Applications before 1750
  131. Spatial Statistics
  132. Applied Life Data Analysis
  133. Robust Statistics
  134. Models for Investors in Real World Markets
  135. Survey Errors and Survey Costs
  136. Discriminant Analysis and Statistical Pattern Recognition
  137. Nonlinear Regression
  138. A User's Guide to Principal Components
  139. Multilevel Statistical Models, 4th Edition
  140. Subjective and Objective Bayesian Statistics: Principles, Models, and Applications, Second Edition
  141. Robust Regression and Outlier Detection
  142. The Theory of Measures and Integration
  143. Introduction to Imprecise Probabilities
  144. Design and Analysis of Experiments: Introduction to Experimental Design, Volume 1, Second Edition
  145. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties
  146. Clinical Trials: A Methodologic Perspective, Second Edition
  147. Markov Chains: Analytic and Monte Carlo Computations
  148. Applied Bayesian Modelling
  149. Analyzing Microarray Gene Expression Data
  150. Mixed Models: Theory and Applications
  151. Bayesian Analysis of Stochastic Process Models
  152. Image Processing and Jump Regression Analysis
  153. Multistate Systems Reliability Theory with Applications
  154. Combinatorial Methods in Discrete Distributions
  155. Exploration and Analysis of DNA Microarray and Protein Array Data
  156. Introduction to Nonparametric Regression
  157. Regression Analysis by Example, Fourth Edition
  158. The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition
  159. Applied Survival Analysis: Regression Modeling of Time-to-Event Data, Second Edition
  160. Bootstrap Methods: A Guide for Practitioners and Researchers, Second Edition
  161. Operational Risk: Modeling Analytics
  162. Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics
  163. Linear Models: The Theory and Application of Analysis of Variance
  164. Stage-Wise Adaptive Designs
  165. The Construction of Optimal Stated Choice Experiments: Theory and Methods
  166. Response Surfaces, Mixtures, and Ridge Analyses, Second Edition
  167. Models for Probability and Statistical Inference: Theory and Applications
  168. Nonparametric Statistics with Applications to Science and Engineering
  169. Variations on Split Plot and Split Block Experiment Designs
  170. Analysis of Ordinal Categorical Data, Second Edition
  171. Long-Memory Time Series: Theory and Methods
  172. Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment
  173. Robust Statistics: Theory and Methods
  174. Statistics of Extremes: Theory and Applications
  175. Environmental Statistics: Methods and Applications
  176. Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family
  177. Bayesian Models for Categorical Data
  178. Uncertainty Analysis with High Dimensional Dependence Modelling
  179. Financial Derivatives in Theory and Practice
  180. Discrete Distributions: Applications in the Health Sciences
  181. Structural Equation Modeling: A Bayesian Approach
  182. Statistical Methods in Spatial Epidemiology, Second Edition
  183. Bayesian Statistical Modelling, Second Edition
  184. Reliability and Risk: A Bayesian Perspective
  185. Bayesian Statistics and Marketing
  186. Generalized Least Squares
  187. Applied Bayesian Modelling
  188. Lévy Processes in Finance: Pricing Financial Derivatives
  189. Robust Statistics, Second Edition
  190. Statistical Rules of Thumb, Second Edition
  191. Causality: Statistical Perspectives and Applications
  192. Applied Multiway Data Analysis
  193. Approximate Dynamic Programming: Solving the Curses of Dimensionality
  194. Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods
  195. Simulation and the Monte Carlo Method, Second Edition
  196. Methods of Multivariate Analysis, Third Edition
  197. Statistical Methods in Diagnostic Medicine, Second Edition
  198. Geostatistics: Modeling Spatial Uncertainty, Second Edition
  199. Modern Applied U-Statistics
  200. Loss Models: From Data to Decisions, Third Edition
  201. Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
  202. Random Data: Analysis and Measurement Procedures, Fourth Edition
  203. Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition
  204. Bias and Causation
  205. Bayes Linear Statistics: Theory and Methods
  206. Smoothing of Multivariate Data: Density Estimation and Visualization
  207. Statistical Meta-Analysis with Applications
  208. Statistical Tolerance Regions: Theory, Applications, and Computation
  209. Sampling, Third Edition
  210. Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence
  211. Multivariate Statistics: High-Dimensional and Large-Sample Approximations
  212. Analysis of Financial Time Series, Third Edition, Third Edition
  213. Runs and Scans with Applications
  214. Records
  215. A Probabilistic Analysis of the Sacco and Vanzetti Evidence
  216. Multivariate Statistical Simulation
  217. The Subjectivity of Scientists and the Bayesian Approach
  218. Forecasting with Dynamic Regression Models
  219. Bayesian Methods and Ethics in a Clinical Trial Design
  220. Probability: A Survey of the Mathematical Theory, Second Edition
  221. Leading Personalities in Statistical Sciences: From the Seventeenth Century to the Present
  222. Reliability: Modeling, Prediction, and Optimization
  223. Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition
  224. Empirical Model Building: Data, Models, and Reality, Second Edition
  225. Biostatistical Methods: The Assessment of Relative Risks, Second Edition
  226. Statistics for Imaging, Optics, and Photonics
  227. Design and Analysis of Experiments: Special Designs and Applications, Volume 3
  228. Time Series Analysis and Forecasting by Example
  229. Time Series: Applications to Finance with R and S-Plus, Second Edition
  230. Statistical Methods for Quality Improvement, Third Edition
  231. Optimal Learning
  232. Approximate Dynamic Programming: Solving the Curses of Dimensionality, Second Edition
  233. An Elementary Introduction to Statistical Learning Theory
  234. A Primer on Experiments with Mixtures
  235. Statistical Analysis of Profile Monitoring
  236. Batch Effects and Noise in Microarray Experiments: Sources and Solutions
  237. Clinical Trial Design: Bayesian and Frequentist Adaptive Methods
  238. Mixtures: Estimation and Applications
  239. Dirichlet and Related Distributions: Theory, Methods and Applications
  240. Latent Variable Models and Factor Analysis: A Unified Approach, 3rd Edition
  241. Mixed Models: Theory and Applications with R, Second Edition
  242. Loss Models: Further Topics
  243. Applied Logistic Regression, Third Edition
  244. A Weak Convergence Approach to the Theory of Large Deviations
  245. Sequential Estimation
  246. Statistical Texts for Mixed Linear Models
  247. Geometrical Foundations of Asymptotic Inference
  248. An Introduction to Probability and Statistics, Second Edition
  249. Constrained Statistical Inference: Inequality, Order, and Shape Restrictions
  250. Visual Statistics: Seeing Data with Dynamic Interactive Graphics
  251. Aspects of Statistical Inference
  252. Robust Estimation & Testing
  253. Hilbert Space Methods in Probability and Statistical Inference
  254. Using the Weibull Distribution: Reliability, Modeling, and Inference
  255. Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
  256. Design and Analysis of Clinical Trials: Concepts and Methodologies, Third Edition
  257. Fast Sequential Monte Carlo Methods for Counting and Optimization
  258. Understanding Uncertainty
  259. Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition
  260. The Fitness of Information: Quantitative Assessments of Critical Evidence
  261. Lower Previsions
  262. Quantile Regression: Theory and Applications
  263. Stochastic Geometry and its Applications
  264. Correspondence Analysis