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Математика

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Nonlinear Statistical Models
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A comprehensive text and reference bringing together advances in the theory of probability and statistics and relating them to applications. The three…
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Scaling, Fractals and Wavelets
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Scaling is a mathematical transformation that enlarges or diminishes objects. The technique is used in a variety of areas, including finance and image…
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Linear Models in Statistics
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The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are gene…
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Mathematical Methods in Science and Engineering
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An innovative treatment of mathematical methods for a multidisciplinary audience Clearly and elegantly presented, Mathematical Methods in Science and …
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Computation for the Analysis of Designed Experiments
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Addresses the statistical, mathematical, and computational aspects of the construction of packages and analysis of variance (ANOVA) programs. Includes…
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Measurement Error Models
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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global ap…
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Alternative Methods of Regression
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Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts «.an extraordinary presentation of concep…
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Probability and Statistical Inference
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Now updated in a valuable new edition—this user-friendly book focuses on understanding the «why» of mathematical statistics Probability and Statistica…
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An Introduction to Linear Programming and Game Theory
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Praise for the Second Edition: «This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustr…
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Nonresponse in Household Interview Surveys
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A comprehensive framework for both reduction of nonresponse and postsurvey adjustment for nonresponse This book provides guidance and support for surv…
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Multiple Time Series
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The Wiley Series in Probability and Statistics is a collection of topics of current research interests in both pure and applied statistics and probabi…
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Fractal-Based Point Processes
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An integrated approach to fractals and point processes This publication provides a complete and integrated presentation of the fields of fractals and …
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Periodically Correlated Random Sequences
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Uniquely combining theory, application, and computing, this book explores the spectral approach to time series analysis The use of periodically correl…
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Applied Numerical Methods Using MATLAB
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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…
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A Weak Convergence Approach to the Theory of Large Deviations
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Applies the well-developed tools of the theory of weak convergence of probability measures to large deviation analysis–a consistent new approach The t…
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Modern Engineering Statistics
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An introductory perspective on statistical applications in the field of engineering Modern Engineering Statistics presents state-of-the-art statistica…
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Randomization in Clinical Trials
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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…
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Practical Methods of Optimization
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Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost eve…
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An Introduction to Numerical Analysis for Electrical and Computer Engineers
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This book is an introduction to numerical analysis and intends to strike a balance between analytical rigor and the treatment of particular methods fo…
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Hilbert Space Methods in Probability and Statistical Inference
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Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales st…
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Modern Experimental Design
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A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applicatio…
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Handbook of Statistical Genetics
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The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the pa…
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Integer and Combinatorial Optimization
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Rave reviews for INTEGER AND COMBINATORIAL OPTIMIZATION «This book provides an excellent introduction and survey of traditional fields of combinatoria…
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The Statistical Analysis of Time Series
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The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and i…
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Forecasting with Dynamic Regression Models
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One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier …
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Statistics for Microarrays
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Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for go…
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International Migration in Europe
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At present there is no unified treatment, drawing together models to allow a consistent and reliable set of migration flows, across countries. This te…
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An Introduction to Optimization
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Praise from the Second Edition «…an excellent introduction to optimization theory…» (Journal of Mathematical Psychology, 2002) «A textbook for a one-s…
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Fourier Analysis of Time Series
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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…
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Leading Personalities in Statistical Sciences
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A fascinating chronicle of the lives and achievements of the men and women who helped shapethe science of statistics This handsomely illustrated volum…
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Logic of Mathematics
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A thorough, accessible, and rigorous presentation of the central theorems of mathematical logic . . . ideal for advanced students of mathematics, comp…
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Sensitivity Analysis in Practice
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Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For…
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Mathematical Models of Fluiddynamics
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This introduction to the field contains a careful selection of topics and examples without sacrificing scientific strictness. The author guides reader…
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Statistics and Data with R
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R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphic…
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Bayesian Inference in Statistical Analysis
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Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inference…
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Discrete Wavelet Transformations
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An «applications first» approach to discrete wavelet transformations Discrete Wavelet Transformations provides readers with a broad elementary introdu…
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Uncertainty in Industrial Practice
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Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive …
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The Finite Element Method
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A comprehensive review of the Finite Element Method (FEM), this book provides the fundamentals together with a wide range of applications in civil, me…
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Permutation Tests for Complex Data
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Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences…
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Statistical Models for Causal Analysis
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Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bi…
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Thinking About Equations
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An accessible guide to developing intuition and skills for solving mathematical problems in the physical sciences and engineering Equations play a cen…
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Finding Groups in Data
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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global ap…
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Graphs Theory and Applications
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This book provides a pedagogical and comprehensive introduction to graph theory and its applications. It contains all the standard basic material and …
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Bayesian Models for Categorical Data
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The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medi…
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Statistical Models and Methods for Lifetime Data
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Praise for the First Edition «An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the s…
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