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A unique overview that melds the concepts of conditional probability and stochastic processes into real-life applications The role of randomization te…

Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost eve…

This book is an introduction to numerical analysis and intends to strike a balance between analytical rigor and the treatment of particular methods fo…

Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales st…

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumer…

The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the pa…

Rave reviews for INTEGER AND COMBINATORIAL OPTIMIZATION «This book provides an excellent introduction and survey of traditional fields of combinatoria…

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and i…

One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier …

A comprehensive overview of experimental design at the advanced level The development and introduction of new experimental designs in the last fifty y…

At present there is no unified treatment, drawing together models to allow a consistent and reliable set of migration flows, across countries. This te…

Praise from the Second Edition «…an excellent introduction to optimization theory…» (Journal of Mathematical Psychology, 2002) «A textbook for a one-s…

A new, revised edition of a yet unrivaled work on frequency domain analysis Long recognized for his unique focus on frequency domain methods for the a…

A fascinating chronicle of the lives and achievements of the men and women who helped shapethe science of statistics This handsomely illustrated volum…

A valuable guide to conducting experiments and analyzing data across a wide range of applications Experimental design is an important component of the…

Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For…

This introduction to the field contains a careful selection of topics and examples without sacrificing scientific strictness. The author guides reader…

R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphic…

Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inference…

Each topic starts with an explanation of the theoretical background necessary to allow full understanding of the technique and to facilitate future le…

Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive …

A comprehensive review of the Finite Element Method (FEM), this book provides the fundamentals together with a wide range of applications in civil, me…

Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences…

Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bi…

Publication bias is the tendency to decide to publish a study based on the results of the study, rather than on the basis of its theoretical or method…

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global ap…

This book provides a pedagogical and comprehensive introduction to graph theory and its applications. It contains all the standard basic material and …

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medi…

Praise for the First Edition «An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the s…

The term Financial Derivative is a very broad term which has come to mean any financial transaction whose value depends on the underlying value of the…

The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are gene…

An innovative treatment of mathematical methods for a multidisciplinary audience Clearly and elegantly presented, Mathematical Methods in Science and …

Addresses the statistical, mathematical, and computational aspects of the construction of packages and analysis of variance (ANOVA) programs. Includes…

A complete introduction to discriminant analysis–extensively revised, expanded, and updated This Second Edition of the classic book, Applied Discrimin…

There are a wide range of variables for actuaries to consider when calculating a motorist’s insurance premium, such as age, gender and type of vehicle…

Now updated in a valuable new edition—this user-friendly book focuses on understanding the «why» of mathematical statistics Probability and Statistica…

Praise for the Second Edition: «This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustr…

A comprehensive framework for both reduction of nonresponse and postsurvey adjustment for nonresponse This book provides guidance and support for surv…

Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is gr…

Explores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask «What if??» Principles of Mode…

Uniquely combining theory, application, and computing, this book explores the spectral approach to time series analysis The use of periodically correl…

In recent years, with the introduction of new media products, there has been a shift in the use of programming languages from FORTRAN or C to MATLAB f…

Applies the well-developed tools of the theory of weak convergence of probability measures to large deviation analysis–a consistent new approach The t…

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumer…

Switching processes, invented by the author in 1977, is the main tool used in the investigation of traffic problems from automotive to telecommunicati…