Books in the Wiley Series in Probability and Statistics series

Batch effects and experimental shift are major sources for noise in a microarray dataset. Their effect on gene expression profiling has been largely ignored until now. This book provides a valuable insight into the nature of batch effects, providing guidance on possible ways of dealing with it and illustrating ways of keeping it to a minimum.

The first and only comprehensive guide to modern record theory and its applications Although it is often thought of as a special topic in order statistics, records form a unique area, independent of the study of sample extremes. Interest in records has increased steadily over the years since Chandler formulated the theory of records in 1952.

This book provides an accessible, serious, and multivariate introduction to the central limit theorem of random variables that lies at the heart of probability and statistics. Practical applications of stable random variables are showcased.

This book illustrates scientific methodology through descriptions of how actual scientists "create science. " The authors present a novel point of view, arguing that the popular perception of science as being strictly objective is untrue and that knowledge is often acquired through very personal means.

This book discusses adaptive sampling designs which are used in surveys where data collection requires modification as a result of observations made during the process. The strategies detailed in the book offer solutions to the long-standing problem of estimating the abundance of rare, clustered populations.

Sequential Stochastic Optimization provides mathematicians and applied researchers with a well-developed framework in which stochastic optimization problems can be formulated and solved.

Consists of invited papers, from internationally recognized researchers, chosen for their quality as well as their overall unity. Describes current methods along with innovative research and presents new technologies for solving problems unique to establishment surveys.

Featuring a comprehensive approach to sample size determination for general statistical use, this book uniquely blends applications from a variety of fields including statistics, biostatistics, the health sciences, and engineering.

Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance.

A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features.

An extensive update to a classic text Stochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials sciences, engineering, biology and environmental sciences.

While the literature on reinsurance is vast, there is currently no comprehensive treatment of the major actuarial and financial aspects of the subject. Many publications deal with specific aspects of the theory without putting them into a proper perspective. Reinsurance: Actuarial and Statistical Aspects treats the topic differently.

Statistical Intervals is a guide for practitioners and researchers--providing a detailed, comprehensive, modernized treatment of this important subject. With numerous examples, it presents and differentiates in an easy-to-apply manner the use of confidence intervals (e.g.

Understand and utilize the latest developments in Weibull inferential methods While the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively.

Thoroughly revised and updated with essential material related to the C/4 actuarial exam, this invaluable new edition maintains an approach to modeling and forecasting utilizing tools related to risk theory, loss distributions, and survival models.

Solutions and explanations for problems in Biostatistics Biostatistics: A Foundation for Analysis in the Health Sciences, 10th Edition Student Solutions Manual offers complete solutions to the odd-numbered practice problems in the text.

With a focus on understanding and using probability calculations, Understanding Uncertainty demystifies probability and explains in straightforward detail the logic of uncertainty, its truths, and its falsehoods.

This book presents the first comprehensive account of fast sequential Monte Carlo (SMC) methods for counting and optimization at an exceptionally accessible level. Written by authorities in the field, it places great emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration.

A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of correspondence analysis, and discusses the new advances that have been made over the last 20 years.

This book presents examples that illustrate the theory of mathematical statistics and details how to apply the methods for solving problems. While other books on the topic contain problems and exercises, they do not focus on problem solving.

A novel presentation of rank and permutation tests, with accessible guidance to applications in R Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences.

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets.

Theories and practices to assess critical information in acomplex adaptive system Organized for readers to follow along easily, The Fitness ofInformation: Quantitative Assessments of Critical Evidenceprovides a structured outline of the key challenges in assessingcrucial information in a complex adaptive system.

Focusing primarily on evaluation of agreement with continuous measurements with additional coverage devoted to categorical measurements, Measuring Agreement Methodology and Applications successfully blends the currently available statistical methodologies for agreement evaluation in a unified, coherent, and lucid manner.

A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardia's long and influential career in statistics.

Addressing the statistical, mathematical and computational aspects of the construction of packages and the analysis of variance (ANOVA) programs, this text includes a disk at the back of the book that contains all program codes in the computer languages APL, BASIC, C and FORTRAN.