Get Free Ebook Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting
Why should await some days to obtain or get the book Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting that you get? Why must you take it if you could get Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting the faster one? You could discover the exact same book that you get here. This is it guide Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting that you can get directly after acquiring. This Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting is well known book around the world, naturally lots of people will try to own it. Why do not you become the initial? Still puzzled with the method?
Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting
Get Free Ebook Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting
Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting. Thanks for visiting the very best site that provide hundreds kinds of book collections. Here, we will present all books Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting that you need. Guides from well-known writers and authors are given. So, you could enjoy currently to obtain one at a time type of publication Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting that you will look. Well, related to guide that you really want, is this Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting your choice?
When visiting take the experience or ideas types others, book Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting can be an excellent resource. It holds true. You could read this Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting as the resource that can be downloaded here. The method to download and install is additionally simple. You could visit the web link web page that our company offer then purchase guide making an offer. Download Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting and also you can deposit in your very own gadget.
Downloading and install guide Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting in this website lists can give you more advantages. It will certainly show you the most effective book collections and also completed collections. Numerous publications can be discovered in this site. So, this is not only this Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting However, this publication is referred to read since it is a motivating publication to offer you a lot more opportunity to obtain encounters as well as ideas. This is basic, review the soft documents of guide Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting as well as you get it.
Your perception of this publication Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting will lead you to acquire just what you exactly require. As one of the motivating books, this book will supply the presence of this leaded Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting to gather. Also it is juts soft documents; it can be your collective file in gadget as well as other tool. The vital is that use this soft documents publication Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting to review and also take the benefits. It is exactly what we suggest as publication Computational Statistics, By Geof H. Givens, Jennifer A. Hoeting will enhance your thoughts and also mind. Then, checking out book will also enhance your life high quality a lot better by taking great action in well balanced.
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.
- Sales Rank: #255910 in Books
- Brand: Brand: Wiley
- Published on: 2012-11-06
- Original language: English
- Number of items: 1
- Dimensions: 9.60" h x 1.27" w x 6.50" l, 1.81 pounds
- Binding: Hardcover
- 496 pages
- Used Book in Good Condition
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.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Overall a good book with some minor flaws ....
By Anmol Sethy
I am using this as the main textbook in one of my courses on Computational 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). 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 obvious to a reader.
Also, for the end of the chapter programming exercises, it might be worthwhile to give some point estimates of the final solution if possible. Otherwise, attempting them just becomes equivalent to shooting in the dark.
0 of 0 people found the following review helpful.
Consider to read this book if you are diving into ...
By Jose Antonio
Consider to read this book if you are diving into the statistics world. I use it because I am coursing a Masters degree in statistics; otherwise just search for something on the internet
0 of 0 people found the following review helpful.
Three Stars
By Anthony R.
Ok book has some errors thou. It was interesting to see how they implement numerical methods for statistics.
Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting PDF
Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting EPub
Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting Doc
Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting iBooks
Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting rtf
Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting Mobipocket
Computational Statistics, by Geof H. Givens, Jennifer A. Hoeting Kindle
Tidak ada komentar:
Posting Komentar