Computational Statistics

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9780470533314: Computational Statistics

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing.  The book is comprised of four main parts spanning the field:

  • Optimization
  • Integration and Simulation
  • Bootstrapping
  • Density Estimation and Smoothing

Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods.  The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data.  The book website now includes comprehensive R code for the entire book.  There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

From the Back Cover:

A valuable new edition of the complete guide to modern statistical computing

Computational Statistics, Second Edition continues to serve as a comprehensive guide to the theory and practice of statistical computing. Like its predecessor, the new edition spans a broad range of modern and classic topics including optimization, integration, Monte Carlo methods, bootstrapping, density estimation and smoothing. Algorithms are explained both conceptually and by using step-by-step descriptions, and are illustrated with detailed examples and exercises.

Important features of this Second Edition include:

  • Examples based on real-world applications from various fields including genetics, ecology, economics, network systems, biology, and medicine
  • Explanations of how computational methods are important components of major statistical approaches such as Bayesian models, linear and generalized linear models, random effects models, survival models, and hidden Markov models
  • Expanded coverage of Markov chain Monte Carlo methods
  • New topics such as sequential sampling methods, particle filters, derivative free optimization, bootstrapping dependent data, and adaptive MCMC
  • New exercises and examples that help readers develop the skills needed to apply computational methods to a broad array of statistical problems
  • A companion website offering datasets and code in the R software package

Computational Statistics, Second Edition is perfect for advanced undergraduate or graduate courses in statistical computing and as a reference for practicing statisticians.

About the Author:

GEOF H. GIVENS, PhD, is Associate Professor in the Department of Statistics at Colorado State University. He serves as Associate Editor for Computational Statistics and Data Analysis. His research interests include statistical problems in wildlife conservation biology including ecology, population modeling and management, and automated computer face recognition.

JENNIFER A. HOETING, PhD, is Professor in the Department of Statistics at Colorado State University. She is an award-winning teacher who co-leads large research efforts for the National Science Foundation. She has served as associate editor for the Journal of the American Statistical Association and Environmetrics. Her research interests include spatial statistics, Bayesian methods, and model selection.

Givens and Hoeting have taught graduate courses on computational statistics for nearly twenty years, and short courses to leading statisticians and scientists around the world.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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Geof H. Givens, Jennifer A. Hoeting
Editore: John Wiley and Sons Ltd, United States (2012)
ISBN 10: 0470533315 ISBN 13: 9780470533314
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Descrizione libro John Wiley and Sons Ltd, United States, 2012. Hardback. Condizione libro: New. 2nd Revised edition. Language: English . Brand New Book. This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: * Optimization * Integration and Simulation * Bootstrapping * Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice. Codice libro della libreria AAH9780470533314

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Geof H. Givens, Jennifer A. Hoeting
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ISBN 10: 0470533315 ISBN 13: 9780470533314
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Descrizione libro John Wiley and Sons Ltd, United States, 2012. Hardback. Condizione libro: New. 2nd Revised edition. Language: English . Brand New Book. This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: * Optimization * Integration and Simulation * Bootstrapping * Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice. Codice libro della libreria AAH9780470533314

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Descrizione libro Hardcover. Condizione libro: New. Brand new, US edition, ship within 24 hours with tracking No. book. Codice libro della libreria 31498

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Descrizione libro Wiley 2012-12-07, Hoboken, New Jersey, 2012. hardback. Condizione libro: New. Codice libro della libreria 9780470533314

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Descrizione libro Wiley, 2012. Hard Cover. Condizione libro: New. New. Mint condition US Edition. 2 Ed. Select Expedited to get your book in 3 to 5 business days including USA, CANADA, AUSTRALIA. All packages can be tracked. Excellent service. Thank you for looking. Codice libro della libreria 001333

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Descrizione libro John Wiley and Sons Ltd, United States, 2012. Hardback. Condizione libro: New. 2nd Revised edition. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field: * Optimization * Integration and Simulation * Bootstrapping * Density Estimation and Smoothing Within these sections,each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice. Codice libro della libreria BZV9780470533314

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