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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…

Delivers an appropriate mix of theory and applications to help readers understand the process and problems of image and signal analysis Maintaining a …

Praise for the First Edition «This book . . . is a significant addition to the literature on statistical practice . . . should be of considerable inte…

The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology in medical r…

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…

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods for Reliability Data was…

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

The authority on building empirical models and the fitting of such surfaces to data—completely updated and revised Revising and updating a volume that…

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

A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications This timely book, A Matrix Handbook for Stati…

This book is the first book on this technique; it describes the theory of DPSM in detail and covers its applications in ultrasonic, magnetic, electros…

Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns. Introduces the m…

Comprehensive coverage of the foundations, applications, recent developments, and future of conformal differential geometry Conformal Differential Geo…

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

A systematic introduction to partial differential equations and modern finite element methods for their efficient numerical solution Partial Different…

Presents up-to-date Banach space results. * Features an extensive bibliography for outside reading. * Provides detailed exercises that elucidate more …

Designed to help motivate the learning of advanced calculus by demonstrating its relevance in the field of statistics, this successful text features d…

Discover the first unified treatment of today's most essential information technologies— Compressing, Encrypting, and Encoding With identity theft, cy…

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

Merging logic and mathematics in deductive inference-an innovative, cutting-edge approach. Optimization methods for logical inference? Absolutely, say…

1001 Basic Math & Pre- Algebra Practice Problems For Dummies Practice makes perfect—and helps deepen your understanding of basic math and pre-algebra …

Accessible to medicine- and/or public policy-related audiences, as well as most statisticians. Emphasis on outliers is discussed by way of detection a…

Many ecological phenomena may be modelled using apparently random processes involving space (and possibly time). Such phenomena are classified as spat…

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

A complete introduction to the many mathematical tools used to solve practical problems in coding. Mathematicians have been fascinated with the theory…

Meets the need for a program of short courses involving the essentials of a number of mathematical topics taken by physics and engineering students. B…

This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within moder…

Consists of two separate but closely related parts. Originally published in 1966, the first section deals with elements of integration and has been up…

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

This title provides a comprehensive survey over the subject of probabilistic combinatorial optimization, discussing probabilistic versions of some of …

Forget the jargon. Forget the anxiety. Just remember the math. In this age of cheap calculators and powerful spreadsheets, who needs to know math? The…

Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, clus…

Comparing and contrasting the reality of subjectivity in the work of history's great scientists and the modern Bayesian approach to statistical analys…

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

Praise for the First Edition: «This book is well conceived and well written. The author has succeeded in producing a text on nonlinear PDEs that is no…

The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data mining. Bayesian…

Stochastic Processes for Insurance and Finance offers a thorough yet accessible reference for researchers and practitioners of insurance mathematics. …

The definitive resource for survey questionnaire testing and evaluation Over the past two decades, methods for the development, evaluation, and testin…

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

Modern Real and Complex Analysis Thorough, well-written, and encyclopedic in its coverage, this text offers a lucid presentation of all the topics ess…

An advanced discussion of linear models with mixed or random effects. In recent years a breakthrough has occurred in our ability to draw inferences fr…

A step-by-step guide to computing and graphics in regression analysis In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expe…

Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not …