Wiley Series in Probability and Statistics

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