математика

Группа авторов. Stochastic Dynamic Programming and the Control of Queueing Systems

Stochastic Dynamic Programming and the Control of Queueing Systems

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A path-breaking account of Markov decision processes-theory and computation This book's clear presentation of theory, numerous chapter-end problems, and development of a unified method for the computation of optimal policies in both discrete and...
Frederick  Mosteller. Fundamentals of Exploratory Analysis of Variance

Fundamentals of Exploratory Analysis of Variance

Frederick Mosteller

The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach...
Ariane  Auquier. Statistical Methods for Comparative Studies

Statistical Methods for Comparative Studies

Ariane Auquier

Brings together techniques for the design and analysis of comparative studies. Methods include multivariate matching, standardization and stratification, analysis of covariance, logit analysis, and log linear analysis. Quantitatively assesses...
Группа авторов. Approximation Theorems of Mathematical Statistics

Approximation Theorems of Mathematical Statistics

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Approximation Theorems of Mathematical Statistics This convenient paperback edition makes a seminal text in statistics accessible to a new generation of students and practitioners. Approximation Theorems of Mathematical Statistics covers a broad...
Группа авторов. Aspects of Multivariate Statistical Theory

Aspects of Multivariate Statistical Theory

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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 appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to...
Thomas  Taimre. Student Solutions Manual to accompany Simulation and the Monte Carlo Method, Student Solutions Manual

Student Solutions Manual to accompany Simulation and the Monte Carlo Method, Student Solutions Manual

Thomas Taimre

This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the...
Klaus  Hinkelmann. Design and Analysis of Experiments, Volume 1

Design and Analysis of Experiments, Volume 1

Klaus Hinkelmann

This user-friendly new edition reflects a modern and accessible approach to experimental design and analysis Design and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of...
Группа авторов. Solutions Manual to accompany Modern Engineering Statistics

Solutions Manual to accompany 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 statistical methodology germane to engineering applications. With a nice blend of methodology and...
Lilli  Japec. Advances in Telephone Survey Methodology

Advances in Telephone Survey Methodology

Lilli Japec

A complete and comprehensive collaboration providing insight on future approaches to telephone survey methodology Over the past fifteen years, advances in technology have transformed the field of survey methodology, from how interviews are...
Brani  Vidakovic. Nonparametric Statistics with Applications to Science and Engineering

Nonparametric Statistics with Applications to Science and Engineering

Brani Vidakovic

A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both...
Группа авторов. A Statistical Approach to Neural Networks for Pattern Recognition

A Statistical Approach to Neural Networks for Pattern Recognition

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An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which...
Группа авторов. Maximum Likelihood Estimation and Inference

Maximum Likelihood Estimation and Inference

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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 intuitive introduction to the concepts and background of likelihood, and moves through to...
Группа авторов. Statistical Estimation of Epidemiological Risk

Statistical Estimation of Epidemiological Risk

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Statistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease...
Risto  Lehtonen. Practical Methods for Design and Analysis of Complex Surveys

Practical Methods for Design and Analysis of Complex Surveys

Risto Lehtonen

Large surveys are becoming increasingly available for public use, and researchers are often faced with the need to analyse complex survey data to address key scientific issues. For proper analysis it is also important to be aware of the...
Группа авторов. Numerical Methods in Finance and Economics

Numerical Methods in Finance and Economics

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A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working...
Brown Helen Dawes. Applied Mixed Models in Medicine

Applied Mixed Models in Medicine

Brown Helen Dawes

A mixed model allows the incorporation of both fixed and random variables within a statistical analysis. This enables efficient inferences and more information to be gained from the data. The application of mixed models is an increasingly...
Franco  Taroni. Statistics and the Evaluation of Evidence for Forensic Scientists

Statistics and the Evaluation of Evidence for Forensic Scientists

Franco Taroni

The first edition of Statistics and the Evaluation of Evidence for Forensic Scientists established itself as a highly regarded authority on this area. Fully revised and updated, the second edition provides significant new material on areas of...
Carl-Erik S?rndal. Estimation in Surveys with Nonresponse

Estimation in Surveys with Nonresponse

Carl-Erik S?rndal

Around the world a multitude of surveys are conducted every day, on a variety of subjects, and consequently surveys have become an accepted part of modern life. However, in recent years survey estimates have been increasingly affected by rising...
George A. F. Seber. A Matrix Handbook for Statisticians

A Matrix Handbook for Statisticians

George A. F. Seber

A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both...
Группа авторов. Partial Differential Equations and the Finite Element Method

Partial Differential Equations and the Finite Element Method

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A systematic introduction to partial differential equations and modern finite element methods for their efficient numerical solution Partial Differential Equations and the Finite Element Method provides a much-needed, clear, and systematic...
Vijay  Chandru. Optimization Methods for Logical Inference

Optimization Methods for Logical Inference

Vijay Chandru

Merging logic and mathematics in deductive inference-an innovative, cutting-edge approach. Optimization methods for logical inference? Absolutely, say Vijay Chandru and John Hooker, two major contributors to this rapidly expanding field. And...
Группа авторов. Logic-Based Methods for Optimization

Logic-Based Methods for Optimization

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A pioneering look at the fundamental role of logic in optimization and constraint satisfaction While recent efforts to combine optimization and constraint satisfaction have received considerable attention, little has been said about using logic...
Группа авторов. Introduction to Discrete Dynamical Systems and Chaos

Introduction to Discrete Dynamical Systems and Chaos

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A timely, accessible introduction to the mathematics of chaos. The past three decades have seen dramatic developments in the theory of dynamical systems, particularly regarding the exploration of chaotic behavior. Complex patterns of even simple...
Группа авторов. Introduction to the Theory of Error-Correcting Codes

Introduction to the Theory of Error-Correcting Codes

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A complete introduction to the many mathematical tools used to solve practical problems in coding. Mathematicians have been fascinated with the theory of error-correcting codes since the publication of Shannon's classic papers fifty years ago....
Vangelis Paschos Th.. Probabilistic Combinatorial Optimization on Graphs

Probabilistic Combinatorial Optimization on Graphs

Vangelis Paschos Th.

This title provides a comprehensive survey over the subject of probabilistic combinatorial optimization, discussing probabilistic versions of some of the most paradigmatic combinatorial problems on graphs, such as the maximum independent set,...
Weimin  Han. Numerical Solution of Ordinary Differential Equations

Numerical Solution of Ordinary Differential Equations

Weimin Han

A concise introduction to numerical methodsand the mathematical framework neededto understand their performance Numerical Solution of Ordinary Differential Equations presents a complete and easy-to-follow introduction to classical topics in the...
Группа авторов. Partial Differential Equations of Applied Mathematics

Partial Differential Equations of Applied Mathematics

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This new edition features the latest tools for modeling, characterizing, and solving partial differential equations The Third Edition of this classic text offers a comprehensive guide to modeling, characterizing, and solving partial differential...
Leon  Lapidus. Numerical Solution of Partial Differential Equations in Science and Engineering

Numerical Solution of Partial Differential Equations in Science and Engineering

Leon Lapidus

From the reviews of Numerical Solution of Partial Differential Equations in Science and Engineering: «The book by Lapidus and Pinder is a very comprehensive, even exhaustive, survey of the subject . . . [It] is unique in that it covers equally...
Mark  Ainsworth. A Posteriori Error Estimation in Finite Element Analysis

A Posteriori Error Estimation in Finite Element Analysis

Mark Ainsworth

An up-to-date, one-stop reference-complete with applications This volume presents the most up-to-date information available on a posteriori error estimation for finite element approximation in mechanics and mathematics. It emphasizes methods for...
Группа авторов. An Introduction to Nonlinear Partial Differential Equations

An Introduction to Nonlinear Partial Differential Equations

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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 not only quite readable but also accessible to students from diverse backgrounds.» —SIAM Review A...
Группа авторов. Modern Real and Complex Analysis

Modern Real and Complex Analysis

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Modern Real and Complex Analysis Thorough, well-written, and encyclopedic in its coverage, this text offers a lucid presentation of all the topics essential to graduate study in analysis. While maintaining the strictest standards of rigor,...
Rainer  Ansorge. Mathematical Models of Fluid Dynamics

Mathematical Models of Fluid Dynamics

Rainer Ansorge

Without sacrificing scientific strictness, this introduction to the field guides readers through mathematical modeling, the theoretical treatment of the underlying physical laws and the construction and effective use of numerical procedures to...
Kurt  Bryan. Discrete Fourier Analysis and Wavelets

Discrete Fourier Analysis and Wavelets

Kurt Bryan

Delivers an appropriate mix of theory and applications to help readers understand the process and problems of image and signal analysis Maintaining a comprehensive and accessible treatment of the concepts, methods, and applications of signal and...
Fred  Glover. Network Models in Optimization and Their Applications in Practice

Network Models in Optimization and Their Applications in Practice

Fred Glover

Unique in that it focuses on formulation and case studies rather than solutions procedures covering applications for pure, generalized and integer networks, equivalent formulations plus successful techniques of network models. Every chapter...
Myron Allen B.. Numerical Analysis for Applied Science

Numerical Analysis for Applied Science

Myron Allen B.

Written for graduate students in applied mathematics, engineering and science courses, the purpose of this book is to present topics in «Numerical Analysis» and «Numerical Methods.» It will combine the material of both these areas as well as...
William Meeker Q.. Statistical Methods for Reliability Data

Statistical Methods for Reliability Data

William Meeker Q.

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods for Reliability Data was among those chosen. Bringing statistical methods for reliability testing in line with the...
Tribikram  Kundu. DPSM for Modeling Engineering Problems

DPSM for Modeling Engineering Problems

Tribikram Kundu

This book is the first book on this technique; it describes the theory of DPSM in detail and covers its applications in ultrasonic, magnetic, electrostatic and electromagnetic problems in engineering. For the convenience of the users, the...
William Kirk A.. An Introduction to Metric Spaces and Fixed Point Theory

An Introduction to Metric Spaces and Fixed Point Theory

William Kirk A.

Presents up-to-date Banach space results. * Features an extensive bibliography for outside reading. * Provides detailed exercises that elucidate more introductory material.
Enrique  Castillo. Orthogonal Sets and Polar Methods in Linear Algebra

Orthogonal Sets and Polar Methods in Linear Algebra

Enrique Castillo

A unique, applied approach to problem solving in linear algebra Departing from the standard methods of analysis, this unique book presents methodologies and algorithms based on the concept of orthogonality and demonstrates their application to...
Группа авторов. Fundamental Structures of Algebra and Discrete Mathematics

Fundamental Structures of Algebra and Discrete Mathematics

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Introduces and clarifies the basic theories of 12 structural concepts, offering a fundamental theory of groups, rings and other algebraic structures. Identifies essentials and describes interrelationships between particular theories. Selected...
Mark  Zegarelli. Basic Math and Pre-Algebra

Basic Math and Pre-Algebra

Mark Zegarelli

1001 Basic Math & Pre- Algebra Practice Problems For Dummies Practice makes perfect—and helps deepen your understanding of basic math and pre-algebra by solving problems 1001 Basic Math & Pre-Algebra Practice Problems For Dummies, with free...
Группа авторов. Vector Integration and Stochastic Integration in Banach Spaces

Vector Integration and Stochastic Integration in Banach Spaces

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A breakthrough approach to the theory and applications of stochastic integration The theory of stochastic integration has become an intensely studied topic in recent years, owing to its extraordinarily successful application to financial...
Группа авторов. A Concrete Approach to Mathematical Modelling

A Concrete Approach to Mathematical Modelling

Группа авторов

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged...
Bernard  Friedman. Lectures on Applications-Oriented Mathematics

Lectures on Applications-Oriented Mathematics

Bernard Friedman

Meets the need for a program of short courses involving the essentials of a number of mathematical topics taken by physics and engineering students. Basically applications-oriented, the courses do include selected topics of abstract mathematics....
Группа авторов. The A to Z of Mathematics

The A to Z of Mathematics

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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 answer is: everyone. Math is all around us. We confront it shopping in the supermarket, paying...
Группа авторов. Essentials of Mathematical Methods in Science and Engineering

Essentials of Mathematical Methods in Science and Engineering

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A complete introduction to the multidisciplinary applications of mathematical methods In order to work with varying levels of engineering and physics research, it is important to have a firm understanding of key mathematical concepts such as...
Ruey Tsay S.. A Course in Time Series Analysis

A Course in Time Series Analysis

Ruey Tsay S.

New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously...
Benjamin  Kedem. Regression Models for Time Series Analysis

Regression Models for Time Series Analysis

Benjamin Kedem

A thorough review of the most current regression methods in time series analysis Regression methods have been an integral part of time series analysis for over a century. Recently, new developments have made major strides in such areas as...
Группа авторов. Time Series Data Analysis Using EViews

Time Series Data Analysis Using EViews

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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 most suitable models for analysis of statistical data sets using EViews – an interactive...
Jianbo  Gao. Multiscale Analysis of Complex Time Series

Multiscale Analysis of Complex Time Series

Jianbo Gao

The only integrative approach to chaos and random fractal theory Chaos and random fractal theory are two of the most important theories developed for data analysis. Until now, there has been no single book that encompasses all of the basic...

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