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

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