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