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Geostatistics. Modeling Spatial Uncertainty
Praise for the First Edition «. . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or pract…
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Praise for the Fourth Edition: «This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable …
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An introduction to risk assessment that utilizes key theory and state-of-the-art applications With its balanced coverage of theory and applications al…
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Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two…
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A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth scie…
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Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational…
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Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of B…
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Praise for the Second Edition «This book is an excellent introduction to the wide field of boundary value problems.»—Journal of Engineering Mathematic…
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Praise for the First Edition «. . . outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of …
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Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical …
ПодробнееApproximate Dynamic Programming. Solving the Curses of Dimensionality
Praise for the First Edition «Finally, a book devoted to dynamic programming and written using the language of operations research (OR)! This beautifu…
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Provides the tools needed to successfully perform adaptive tests across a broad range of datasets Adaptive Tests of Significance Using Permutations of…
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A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance a…
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Praise for the First Edition «This…novel and highly stimulating book, which emphasizes solving real problems…should be widely read. It will have a pos…
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The publication of the first book by Kenneth Arrow and Hervé Raynaud, in 1986, led to an important wave of research in the field of axiomatic approach…
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This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation …
ПодробнееRevolutions of Geometry
Guides readers through the development of geometry and basic proof writing using a historical approach to the topic In an effort to fully appreciate t…
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A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introductio…
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A provocative look at the tools and history of real analysis This new edition of Real Analysis: A Historical Approach continues to serve as an interes…
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New Edition of a Classic Guide to Statistical Applications in the Biomedical Sciences In the last decade, there have been significant changes in the w…
ПодробнееCategorical Data Analysis
Praise for the Second Edition «A must-have book for anyone expecting to do research and/or applications in categorical data analysis.» —Statistics in …
ПодробнееUnderstanding Computational Bayesian Statistics
A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering th…
ПодробнееDigital Spectral Analysis. Parametric, Non-Parametric and Advanced Methods
Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes de…
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