Wiley Series in Probability and Statistics

Cover Image

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

SEARCH