Математика

Do you want to recognize the most suitable models for analysis of statistical data sets? This book provides a hands-on practical guide to using the mo…

Statistical methodology plays a key role in ensuring that DNA evidence is collected, interpreted, analyzed and presented correctly. With the recent ad…

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodo…

‘Fascinating … so enlightening that suddenly maths doesn’t seem so fearsome as it once did’ SIMON WINCHESTERFrom Aristotle to Ada Lovelace: a brief hi…

An easily accessible introduction to log-linear modeling for non-statisticians Highlighting advances that have lent to the topic's distinct, coherent …

There has been substantial growth in the use of data monitoring committees in recent years, by both government agencies and the pharmaceutical industr…

Learn how to develop your reasoning skills and how to write well-reasoned proofs Learning to Reason shows you how to use the basic elements of mathema…

An in-depth description of the state-of-the-art of 3D shape analysis techniques and their applications This book discusses the different topics that c…

Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and…

Six Sigma methodology is a business management strategy which seeks to improve the quality of process output by identifying and removing the causes of…

An accessible and practical introduction to wavelets With applications in image processing, audio restoration, seismology, and elsewhere, wavelets hav…

Praise for the Third Edition «This is one of the best books available. Its excellent organizational structure allows quick reference to specific model…

Introduces the latest developments in forecasting in advanced quantitative data analysis This book presents advanced univariate multiple regressions, …

A simplified, yet rigorous treatment of scattering theory methods and their applications Dispersion Decay and Scattering Theory provides thorough, eas…

Praise for the First Edition «…complete, up-to-date coverage of computational complexity theory…the book promises to become the standard reference on …

Provides state-of-the-art coverage for the researcher confronted with designing and executing a simulation study using continuous multivariate distrib…

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

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in mo…

A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is the…

This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between o…

This textbook differs from others in the field in that it has been prepared very much with students and their needs in mind, having been classroom tes…

Praise for the first edition «This book is clearly written and presents a large number of examples illustrating the theory . . . there is no other boo…

A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series Analysis offers …

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis.…

This book has two main purposes. On the one hand, it provides a concise and systematic development of the theory of lower previsions, based on the con…

A unique, applied approach to problem solving in linear algebra Departing from the standard methods of analysis, this unique book presents methodologi…

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

Contains an overview of several technical topics of Quantile Regression Volume two of Quantile Regression offers an important guide for applied resear…

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make …

Praise for the First Edition «This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will beco…

The only integrative approach to chaos and random fractal theory Chaos and random fractal theory are two of the most important theories developed for …

This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with…

An important resource that provides an overview of mathematical modelling Mathematical Modelling offers a comprehensive guide to both analytical and c…

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathemat…

A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, beh…

This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or paramet…

A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast number of areas,…

TRANSFER MATRIX METHOD FOR MULTIBODY SYSTEMS: THEORY AND APPLICATIONS Xiaoting Rui, Guoping Wang and Jianshu Zhang – Nanjing University of Science and…

A highly valued resource for those who wish to move from the introductory and preliminary understandings and the measurement of chaotic behavior to a …

Настоящая работа предназначена для использования при проведении консультаций по математическому анализу со студентами I курса университета. Ее цель – …

Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows…

A practical guide for multivariate statistical techniques– now updated and revised In recent years, innovations in computer technology and statistical…

This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps st…

A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysi…

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