Elements of Computational Statistics / Edition 1

Paperback (Print)
Buy New
Buy New from BN.com
$189.05
Used and New from Other Sellers
Used and New from Other Sellers
from $135.18
Usually ships in 1-2 business days
(Save 32%)
Other sellers (Paperback)
  • All (4) from $135.18   
  • New (3) from $135.18   
  • Used (1) from $240.93   

Overview

This book describes techniques used in computational statistics and considers some of the areas of applications, such as density estimation and model building, in which computationally intensive methods are useful. In computational statistics, computation is viewed as an instrument of discovery; the role of the computer is not just to store data, perform computations, and produce graphs and tables, but additionally to suggest to the scientist alternative models and theories. Another characteristic of computational statistics is the computational intensity of the methods; even for datasets of medium size, high performance computers are required to perform the computations. Graphical displays and visualization methods are usually integral features of computational statistics.
Read More Show Less

Editorial Reviews

From the Publisher

From the reviews:

TECHNOMETRICS

"For the probable purchasers of this text, I feel that Gentle has succeeded in presenting a broad overview of the major areas of modern computational statistics…In conclusion, I found this book to be a comprehensive summary of computational methods used in modern statistical analyses. It certainly has a place on my bookshelf. The bibliography alone makes it a valuable research tool for those working in this area."

SHORT BOOK REVIEWS

"This book describes many of the exciting, even revolutionary, developments in computational statistics which have been made over the last two or three decades...The book has a rather mainstream statistical feel to it: it gives excellent discussions of topics such as bootstrap methods, density function estimation, and multivariate tools such as principle components, clustering and projection pursuit…It would provide an excellent grounding for someone beginning to work in this area…"

"The book by James Gentle illustrates statistical ideas and computational tools to explore, extract, and test for significance the information in collected data. … The chapters have exercises and solutions. The book is suitable to be a text book in a graduate level course on computational statistics. … I enjoyed reading … and recommend … very highly to the statistical community." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 75 (2), 2005)

"This book provides a wealth of knowledge on the topic of computational statistics … . Gentle’s prose is very readable, with many sections written in an almost conversational style. … I highly recommend this book as a resource … . I wish to commend Gentle for his efforts on this well-written book. The vast coverage of methodology makes this book a valuable resource for any statistician involved with computational statistics … as well as for applied researchers in other fields who use advanced statistical methods." (Herbert K. H. Lee, Journal of the American Statistical Association, Vol. 98 (463), September, 2003)

"Computational statistics is a collection of methods and techniques in statistics which are computationally intensive and use the computer as a tool for experimentation. … The material covered is extensive. … relevant references are given. The book also contains lots of exercises of varying level … . The writing style in this book is accessible … . Practical aspects are stressed. All in all, the book is valuable for people who want to know something about the strength and applicability of statistical methods ... ." (Dr. G. Jongbloed, Kwantitatieve Methoden, Issue 72B28, 2004)

"The book is devoted to computationally intensive methods of statistical analysis such as resampling, randomization tests or data mining. … the book covers a lot of questions … . So, this … may be a good reference guide on the current state of statistics. The bibliography contains more than 500 items and there are many WWW references in the text." (R. E. Maiboroda, Zentralblatt MATH, Vol. 1031, 2004)

"Gentle defines computational statistics … as ‘the class of statistical methods characterized by computational intensity and the supporting methods for such methods’. … There is good coverage here of an extensive range of statistical methods … . Each chapter is accompanied by a good selection of challenging exercises … . clear descriptions of the fundamentals together with several references to advanced topics for the interested reader. … I will be happy to use it to dip into as a general reference book." (Richard Bolton, Journal of Applied Statistics, Vol. 31 (9), 2004)

"This book grew out of courses on computational statistics that were offered by the author at George Mason University. … The exercises are an important way of adding to the information that is gained from the text. … The presentation is very accessible. Apart from its obvious use as a course text, this is a useful reference for any statistician who uses or wishes to use computationally intensive methods. This is the third of a series … . I have enjoyed reading all of them." (David Kemp, Journal of the Royal Statistical Society, Vol. 157 (3), 2004)

"This book is an audacious undertaking by the author – an effort to present all of the major statistical methods that require a large degree of computational intensity. … I feel that Gentle has succeeded in presenting a broad overview of the major areas of modern computational statistics. … I found this book to be a comprehensive summary of computational methods used in modern statistical analyses. It certainly has a place on my bookshelf. The bibliography alone makes it a valuable research tool … ." (William J. Owen, Technometrics, Vol. 45 (3), 2003)

"This book describes many of the exciting, even revolutionary, developments in computational statistics which have been made over the last two or three decades. … it gives excellent discussions of topics such as bootstrap methods, density function estimation, and multivariate tools such as principal components, clustering and projection pursuit. … It would provide an excellent grounding for someone beginning to work in this area … ." (D. J. Hand, Short Book Reviews, Vol. 23 (1), 2003)

From the Publisher
From the reviews:

TECHNOMETRICS

"For the probable purchasers of this text, I feel that Gentle has succeeded in presenting a broad overview of the major areas of modern computational statistics…In conclusion, I found this book to be a comprehensive summary of computational methods used in modern statistical analyses. It certainly has a place on my bookshelf. The bibliography alone makes it a valuable research tool for those working in this area."

SHORT BOOK REVIEWS

"This book describes many of the exciting, even revolutionary, developments in computational statistics which have been made over the last two or three decades...The book has a rather mainstream statistical feel to it: it gives excellent discussions of topics such as bootstrap methods, density function estimation, and multivariate tools such as principle components, clustering and projection pursuit…It would provide an excellent grounding for someone beginning to work in this area…"

"The book by James Gentle illustrates statistical ideas and computational tools to explore, extract, and test for significance the information in collected data. … The chapters have exercises and solutions. The book is suitable to be a text book in a graduate level course on computational statistics. … I enjoyed reading … and recommend … very highly to the statistical community." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 75 (2), 2005)

"This book provides a wealth of knowledge on the topic of computational statistics … . Gentle’s prose is very readable, with many sections written in an almost conversational style. … I highly recommend this book as a resource … . I wish to commend Gentle for his efforts on this well-written book. The vast coverage of methodology makes this book a valuable resource for any statistician involved with computational statistics … as well as for applied researchers in other fields who use advanced statistical methods." (Herbert K. H. Lee, Journal of the American Statistical Association, Vol. 98 (463), September, 2003)

"Computational statistics is a collection of methods and techniques in statistics which are computationally intensive and use the computer as a tool for experimentation. … The material covered is extensive. … relevant references are given. The book also contains lots of exercises of varying level … . The writing style in this book is accessible … . Practical aspects are stressed. All in all, the book is valuable for people who want to know something about the strength and applicability of statistical methods ... ." (Dr. G. Jongbloed, Kwantitatieve Methoden, Issue 72B28, 2004)

"The book is devoted to computationally intensive methods of statistical analysis such as resampling, randomization tests or data mining. … the book covers a lot of questions … . So, this … may be a good reference guide on the current state of statistics. The bibliography contains more than 500 items and there are many WWW references in the text." (R. E. Maiboroda, Zentralblatt MATH, Vol. 1031, 2004)

"Gentle defines computational statistics … as ‘the class of statistical methods characterized by computational intensity and the supporting methods for such methods’. … There is good coverage here of an extensive range of statistical methods … . Each chapter is accompanied by a good selection of challenging exercises … . clear descriptions of the fundamentals together with several references to advanced topics for the interested reader. … I will be happy to use it to dip into as a general reference book." (Richard Bolton, Journal of Applied Statistics, Vol. 31 (9), 2004)

"This book grew out of courses on computational statistics that were offered by the author at George Mason University. … The exercises are an important way of adding to the information that is gained from the text. … The presentation is very accessible. Apart from its obvious use as a course text, this is a useful reference for any statistician who uses or wishes to use computationally intensive methods. This is the third of a series … . I have enjoyed reading all of them." (David Kemp, Journal of the Royal Statistical Society, Vol. 157 (3), 2004)

"This book is an audacious undertaking by the author – an effort to present all of the major statistical methods that require a large degree of computational intensity. … I feel that Gentle has succeeded in presenting a broad overview of the major areas of modern computational statistics. … I found this book to be a comprehensive summary of computational methods used in modern statistical analyses. It certainly has a place on my bookshelf. The bibliography alone makes it a valuable research tool … ." (William J. Owen, Technometrics, Vol. 45 (3), 2003)

"This book describes many of the exciting, even revolutionary, developments in computational statistics which have been made over the last two or three decades. … it gives excellent discussions of topics such as bootstrap methods, density function estimation, and multivariate tools such as principal components, clustering and projection pursuit. … It would provide an excellent grounding for someone beginning to work in this area … ." (D. J. Hand, Short Book Reviews, Vol. 23 (1), 2003)

Read More Show Less

Product Details

  • ISBN-13: 9781441930248
  • Publisher: Springer New York
  • Publication date: 12/6/2010
  • Series: Statistics and Computing Series
  • Edition description: Softcover reprint of hardcover 1st ed. 2002
  • Edition number: 1
  • Pages: 420
  • Product dimensions: 0.89 (w) x 9.21 (h) x 6.14 (d)

Table of Contents

Preliminaries
• Monte Carlo Methods for Inference
• Randomization and Data Partitioning
• Bootstrap Methods
• Tools for Identification of Structure in Data
• Estimation of Functions
• Graphical Methods in Computational Statistics
• Estimation of Probability Density Functions Using Parametric Models
• Nonparametric Estimation of Probability Density Functions
• Structure in Data
• Statistical Models of Dependencies
• Appendices
Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously
Sort by: Showing 1 Customer Reviews
  • Anonymous

    Posted April 11, 2005

    Major errors in book

    Wait for the 2nd edition before you buy this book, as the 1st (current) edition contains major typographical errors (I hope they're only typos!). See Gentle's LONG errata sheet on his website. I'm taking an advanced statistical computing course, and sorting out the typos with some of the equations has wasted a significant amount of class and study time. Unforgiveable! This book never should have made it out of production. I expect the 2nd edition could be worthwhile, the current edition definately is not.

    Was this review helpful? Yes  No   Report this review
Sort by: Showing 1 Customer Reviews

If you find inappropriate content, please report it to Barnes & Noble
Why is this product inappropriate?
Comments (optional)