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