Математика

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…

An accessible, clearly organized survey of the basic topics of measure theory for students and researchers in mathematics, statistics, and physics In …

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…

Shorter, more concise chapters provide flexible coverage of the subject. Expanded coverage includes: uncertainty and randomness, prior distributions, …

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…

An important role of diagnostic medicine research is to estimate and compare the accuracies of diagnostic tests. This book provides a comprehensive ac…

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 analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balan…

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…

Brings together techniques for the design and analysis of comparative studies. Methods include multivariate matching, standardization and stratificati…

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…

This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the lat…

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…

This user-friendly new edition reflects a modern and accessible approach to experimental design and analysis Design and Analysis of Experiments, Volum…

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…

Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, dete…

An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for P…

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…

Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usu…

A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences and more in…