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