Computational Statistics, Second Edition. Author(s). Geof H. Givens · Jennifer A. Hoeting. First published March Print ISBN |Online. Computational Statistics by Geof H. Givens; Jennifer A. Hoeting. Review by: Galin L. Jones. Journal of the American Statistical Association, Vol. Computational Statistics, 2nd Edition. by Jennifer A. Hoeting, Geof H. Givens. Publisher: John Wiley & Sons. Release Date: November
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A comprehensive, classroom-tested introduction to modern computational statistics This comprehensive introduction enables readers to develop a multifaceted and thorough knowledge of modern statistical computing and computational statistics. Computational Statistics Statistics and Computing. She is an award-winningteacher who co-leads large research efforts for the NationalScience Foundation. Top Reviews Most recent Top Reviews. Optimization Integration and Simulation Bootstrapping Density Estimation and Smoothing Within these sections,each chapter includes a comprehensiveintroduction and step-by-step implementation summaries to accompanythe explanations of key methods.
Chapters are written to stand independently, allowing instructors to build their own courses by selecting topics.
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Computational Statistics, 2nd Edition by Jennifer A. Em Optimization Methods 4. The text emphasizes areas that are central to understanding the evolving field of computational statistics including areas where routine application of software often fails to solve complex problems.
Optimization and Solving Nonlinear Equations.
Computational statistics – Geof H. Givens, Jennifer Ann Hoeting – Google Books
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Ships from and sold by De-light Books. 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.
Would you like to tell us about a lower price? Examples based on real-world applications from various fieldsincluding genetics, ecology, economics, network systems, biology,and medicine Explanations of how computational methods are importantcomponents of statisticss 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, particlefilters, derivative free optimization, bootstrapping dependentdata, and adaptive MCMC New exercises and examples that help readers develop the skillsneeded to apply computational methods to a broad array ofstatistical staitstics A companion website offering datasets and code in the Rsoftware package Computational Statistics, Second Edition is perfect foradvanced undergraduate or graduate courses in statistical computingand as a reference for practicing statisticians.
This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. There’s a problem loading this menu right now. Pages with related products. Simulation and Monte Carlo Integration 6. Givens and Hoeting have taught graduate courses on computationalstatistics for hoetign twenty years, and short courses to leadingstatisticians and scientists around the world.
The book is comprised of four main parts spanning the field:. Backed by many years of classroom experience, the authors help readers gain a practical understanding of how and why modern statistical methods work, enabling readers to apply these methods effectively.
Computational Statistics, 2nd Edition
Wiley; 2 edition November 6, Language: Within these sections,each chapter includes a comprehensiveintroduction and step-by-step implementation summaries to accompanythe explanations of key methods. Stay ahead with the world’s most comprehensive technology and business learning platform. From inside the book. Please try again later. Computational statistics Geof H. ComiXology Thousands of Digital Comics. The ebook version does not provide access to the companion files.