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

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