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. Statistical Inference for Fractional Diffusion Processes
  124. Introductory Stochastic Analysis for Finance and Insurance
  125. Finite Mixture Models
  126. Continuous Multivariate Distributions: Models and Applications, Volume 1, Second Edition
  127. Generalized, Linear, and Mixed Models
  128. Random Graphs for Statistical Pattern Recognition
  129. Randomization in Clinical Trials: Theory and Practice
  130. Order Statistics, Third Edition
  131. Statistical Methods in Diagnostic Medicine
  132. Fourier Analysis of Time Series: An Introduction, Second Edition
  133. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
  134. History of Probability and Statistics and Their Applications before 1750
  135. Spatial Statistics
  136. Applied Life Data Analysis
  137. Robust Statistics
  138. Models for Investors in Real World Markets
  139. Survey Errors and Survey Costs
  140. Discriminant Analysis and Statistical Pattern Recognition
  141. Nonlinear Regression
  142. A User's Guide to Principal Components
  143. Multilevel Statistical Models, 4th Edition
  144. Subjective and Objective Bayesian Statistics: Principles, Models, and Applications, Second Edition
  145. Robust Regression and Outlier Detection
  146. The Theory of Measures and Integration
  147. Introduction to Imprecise Probabilities
  148. Design and Analysis of Experiments: Introduction to Experimental Design, Volume 1, Second Edition
  149. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties
  150. Clinical Trials: A Methodologic Perspective, Second Edition
  151. Markov Chains: Analytic and Monte Carlo Computations
  152. Applied Bayesian Modelling
  153. Analyzing Microarray Gene Expression Data
  154. Mixed Models: Theory and Applications
  155. Bayesian Analysis of Stochastic Process Models
  156. Image Processing and Jump Regression Analysis
  157. Multistate Systems Reliability Theory with Applications
  158. Combinatorial Methods in Discrete Distributions
  159. Exploration and Analysis of DNA Microarray and Protein Array Data
  160. Introduction to Nonparametric Regression
  161. Regression Analysis by Example, Fourth Edition
  162. The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies, Second Edition
  163. Applied Survival Analysis: Regression Modeling of Time-to-Event Data, Second Edition
  164. Bootstrap Methods: A Guide for Practitioners and Researchers, Second Edition
  165. Operational Risk: Modeling Analytics
  166. Statistical Advances in the Biomedical Sciences: Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics
  167. Linear Models: The Theory and Application of Analysis of Variance
  168. Stage-Wise Adaptive Designs
  169. The Construction of Optimal Stated Choice Experiments: Theory and Methods
  170. Response Surfaces, Mixtures, and Ridge Analyses, Second Edition
  171. Models for Probability and Statistical Inference: Theory and Applications
  172. Nonparametric Statistics with Applications to Science and Engineering
  173. Variations on Split Plot and Split Block Experiment Designs
  174. Analysis of Ordinal Categorical Data, Second Edition
  175. Long-Memory Time Series: Theory and Methods
  176. Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment
  177. Robust Statistics: Theory and Methods
  178. Statistics of Extremes: Theory and Applications
  179. Environmental Statistics: Methods and Applications
  180. Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family
  181. Bayesian Models for Categorical Data
  182. Uncertainty Analysis with High Dimensional Dependence Modelling
  183. Financial Derivatives in Theory and Practice
  184. Discrete Distributions: Applications in the Health Sciences
  185. Structural Equation Modeling: A Bayesian Approach
  186. Statistical Methods in Spatial Epidemiology, Second Edition
  187. Bayesian Statistical Modelling, Second Edition
  188. Reliability and Risk: A Bayesian Perspective
  189. Bayesian Statistics and Marketing
  190. Generalized Least Squares
  191. Applied Bayesian Modelling
  192. Lévy Processes in Finance: Pricing Financial Derivatives
  193. Robust Statistics, Second Edition
  194. Statistical Rules of Thumb, Second Edition
  195. Causality: Statistical Perspectives and Applications
  196. Applied Multiway Data Analysis
  197. Approximate Dynamic Programming: Solving the Curses of Dimensionality
  198. Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods
  199. Handbook of Monte Carlo Methods
  200. Simulation and the Monte Carlo Method, Second Edition
  201. Methods of Multivariate Analysis, Third Edition
  202. Statistical Methods in Diagnostic Medicine, Second Edition
  203. Geostatistics: Modeling Spatial Uncertainty, Second Edition
  204. Modern Applied U-Statistics
  205. Loss Models: From Data to Decisions, Third Edition
  206. Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
  207. Random Data: Analysis and Measurement Procedures, Fourth Edition
  208. Simulation and the Monte Carlo Method: Solutions Manual to Accompany, Second Edition
  209. Bias and Causation
  210. Bayes Linear Statistics: Theory and Methods
  211. Smoothing of Multivariate Data: Density Estimation and Visualization
  212. Statistical Meta-Analysis with Applications
  213. Statistical Tolerance Regions: Theory, Applications, and Computation
  214. Sampling, Third Edition
  215. Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence
  216. Multivariate Statistics: High-Dimensional and Large-Sample Approximations
  217. Analysis of Financial Time Series, Third Edition, Third Edition
  218. Runs and Scans with Applications
  219. Records
  220. A Probabilistic Analysis of the Sacco and Vanzetti Evidence
  221. Multivariate Statistical Simulation
  222. The Subjectivity of Scientists and the Bayesian Approach
  223. Forecasting with Dynamic Regression Models
  224. Bayesian Methods and Ethics in a Clinical Trial Design
  225. Probability: A Survey of the Mathematical Theory, Second Edition
  226. Leading Personalities in Statistical Sciences: From the Seventeenth Century to the Present
  227. Reliability: Modeling, Prediction, and Optimization
  228. Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition
  229. Empirical Model Building: Data, Models, and Reality, Second Edition
  230. Biostatistical Methods: The Assessment of Relative Risks, Second Edition
  231. Statistics for Imaging, Optics, and Photonics
  232. Design and Analysis of Experiments: Special Designs and Applications, Volume 3
  233. Time Series: Applications to Finance with R and S-Plus, Second Edition
  234. Statistical Methods for Quality Improvement, Third Edition
  235. Optimal Learning
  236. Approximate Dynamic Programming: Solving the Curses of Dimensionality, Second Edition
  237. An Elementary Introduction to Statistical Learning Theory
  238. A Primer on Experiments with Mixtures
  239. Statistical Analysis of Profile Monitoring
  240. Batch Effects and Noise in Microarray Experiments: Sources and Solutions
  241. Clinical Trial Design: Bayesian and Frequentist Adaptive Methods
  242. Mixtures: Estimation and Applications
  243. Dirichlet and Related Distributions: Theory, Methods and Applications
  244. Latent Variable Models and Factor Analysis: A Unified Approach, 3rd Edition
  245. Mixed Models: Theory and Applications with R, Second Edition
  246. Loss Models: Further Topics
  247. Applied Logistic Regression, Third Edition
  248. A Weak Convergence Approach to the Theory of Large Deviations
  249. Sequential Estimation
  250. Statistical Texts for Mixed Linear Models
  251. Geometrical Foundations of Asymptotic Inference
  252. An Introduction to Probability and Statistics, Second Edition
  253. Constrained Statistical Inference: Inequality, Order, and Shape Restrictions
  254. Visual Statistics: Seeing Data with Dynamic Interactive Graphics
  255. Aspects of Statistical Inference
  256. Robust Estimation & Testing
  257. Hilbert Space Methods in Probability and Statistical Inference
  258. Using the Weibull Distribution: Reliability, Modeling, and Inference
  259. Nonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R
  260. Design and Analysis of Clinical Trials: Concepts and Methodologies, Third Edition
  261. Fast Sequential Monte Carlo Methods for Counting and Optimization
  262. Understanding Uncertainty
  263. Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition
  264. The Fitness of Information: Quantitative Assessments of Critical Evidence
  265. Lower Previsions
  266. Quantile Regression: Theory and Applications
  267. Stochastic Geometry and its Applications
  268. Correspondence Analysis