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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This new edition continues to serve as a comprehensive guide tomodern and classical methods of statistical computing. Thebook is comprised of four main parts spanning the field:. Within these sections,each chapter includes a comprehensiveintroduction and step-by-step implementation summaries to accompanythe explanations of key methods.
The new edition includesupdated coverage and existing topics as well as new topics such asadaptive MCMC and bootstrapping for correlated data. The bookwebsite now includes comprehensive R code for the entirebook. There are extensive exercises, real examples, andhelpful insights about how to use the methods in practice. Computational Statistics, Second Edition continues toserve as a comprehensive guide to the theory and practice ofstatistical computing.
Like its predecessor, the new edition spansa broad range of modern and classic topics including optimization,integration, Monte Carlo methods, bootstrapping, density estimationand smoothing. Algorithms are explained both conceptually and byusing step-by-step descriptions, and are illustrated with detailedexamples and exercises. Computational Statistics, Second Edition is perfect foradvanced undergraduate or graduate courses in statistical computingand as a reference for practicing statisticians.
His research interests include statistical problemsin wildlife conservation biology including ecology, populationmodeling and management, and automated computer facerecognition. She is an award-winningteacher who co-leads large research efforts for the NationalScience Foundation. She has served as associate editor for the Journal of the American Statistical Association and Environmetrics. Her research interests include spatialstatistics, Bayesian methods, and model selection. Givens and Hoeting have taught graduate courses on computationalstatistics for nearly twenty years, and short courses to leadingstatisticians and scientists around the world.
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Computational statistics – Geof H. Givens, Jennifer Ann Hoeting – Google Books
If you are a seller for this product, would you like to suggest updates through seller support? Thebook 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 comprehensiveintroduction and step-by-step implementation summaries to accompanythe explanations of key methods.
Read more Read less. Discover Prime Book Box for Kids. Add all three to Givwns Add all three to List. These items are shipped from and sold by different sellers. Buy the selected items together This item: Staistics Statistics by Geof H. Ships from and sold by De-light Books.
An Introduction to Statistical Learning: Ships from and sold by Amazon. R for Data Science: Customers who bought this item also bought. Page 1 of 1 Start over Page 1 of 1. The Elements of Statistical Learning: From the Back Cover A valuable new edition of the complete guide to modernstatistical computing Computational Statistics, Second Edition continues toserve as a comprehensive guide to the theory and practice ofstatistical computing.
Important features of this Second Edition include: 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 hosting 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 hoetin perfect foradvanced undergraduate or graduate courses in statistical computingand as a reference for practicing statisticians.
Wiley; 2 edition November 6, Language: Start reading Computational Statistics on your Kindle in under a minute. Don’t have a Kindle? Try the Kindle edition and experience these great reading features: Share your thoughts with other customers.
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Please try again later. Kindle Edition Verified Purchase. Consider to read this book if you are diving into the statistics world. I hoetig it because I am coursing a Masters degree in statistics; otherwise just search for something on the internet. Sfatistics textbook but better options for computation for the modern statistics students.
Ok book has some errors thou. It was interesting to see how they implement numerical methods for statistics. One person found this helpful. I am using this as the main textbook in one of my courses on Jrnnifer Statistics. After going through the book for four months now, I feel the book does a reasonably good job of explaining the theoretical under pinning of the subject area without getting too mathematical given the subject, its impossible to do it without mathematics.
Computational Statistics, 2nd Edition [Book]
However, I think many examples that the book takes up could have been discussed in more detail. Very often, while going through the examples, I felt that the authors gloss over several details which might not be that computationap to a reader. Also, for the end of the chapter programming exercises, it statistis be worthwhile to give some point estimates of the final solution if possible.
Otherwise, attempting them just becomes equivalent to shooting in the dark. See all 4 reviews. Amazon Giveaway allows you to run promotional giveaways in order vomputational create buzz, reward your audience, and attract new followers and customers. Learn more about Amazon Giveaway. Set up a giveaway. Customers who viewed this item also viewed. Computational Statistics Statistics and Computing. Computer Age Statistical Inference: Pages with related products. See and discover other items: There’s a problem loading this menu right now.
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Computational Statistics, 2nd Edition
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