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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Get to Know Us. AmazonGlobal Ship Orders Internationally. Account Options Sign in. 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.


Computational Statistics, 2nd Edition [Book]

Computational Statistics, 2nd Edition by Jennifer A. 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 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, 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 problems 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.


I am using this as the main textbook in one of my courses on Computational Statistics. By providing readers with a thorough understanding of contemporary statistical techniques, the book gives readers a solid foundation for contributing their own ideas and finding new applications for this dynamic field.

She has served as associate editor for the Journal of the American Staristics Association and Environmetrics. Nonparametric Density Estimation Optimization and Solving Nonlinear Equations 2.

Wiley; 2 edition November 6, Language: Shopbop Designer Fashion Brands. Her research interests include Bayesian methods, model selection, and spatial statistics. View table of contents. Optimization and Solving Nonlinear Equations. See all 4 reviews. His interests include wildlife population dynamics modeling, Bayesian methods, computerized face recognition, and bioinformatics.

Share computatiional thoughts with other customers. Amazon Restaurants Food delivery from local restaurants. I use it because I am coursing a Masters degree in statistics; otherwise just search for something on the internet. Within these sections,each chapter includes a comprehensiveintroduction and step-by-step implementation summaries to accompanythe explanations of key methods.

Computational Statistics, 2nd Edition

Add all three to Cart Add all three to List. Ships from and sold by Amazon. There’s a problem loading this menu right now. English Choose a language for shopping. Write a customer review. Within these sections, each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. Book Description This new edition continues to serve as computationa comprehensive guide to modern and classical methods of statistical gwof.


However, I think many examples that the book takes up could have been discussed in more detail.

This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. Learn more about Amazon Prime. Thebook is comprised of four main parts spanning the field: Computational Statistics, Second Edition is perfect foradvanced undergraduate or graduate courses in statistical computingand as a reference for practicing statisticians.

Set up a giveaway. The book website now includes comprehensive R code for the entire jrnnifer. Hoeting No preview available – R for Data Science: There are computafional exercises, real examples, and helpful insights about how to use the methods in practice.

Ok book has some errors thou.