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Statistics and Computing Ser.: Elements of Computational Statistics by James E. Gentle (2005, Hardcover)

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Number of Pages: 420. Weight: 1.75 lbs. Publication Date: 2005-06-28. Publisher: SPRINGER NATURE.

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Product Information

This volume describes techniques used in computational statistics and considers some of the areas of application, such as density estimation and model building. Numerical techniques for transformations, for function approximation, and for optimization are explained. The book includes exercises, some with solutions. It can be used as a text or supplementary text for various courses in modern statistics at the advanced undergraduate or graduate level, and as a reference for statisticians.

Product Identifiers

Publisher
Springer New York
ISBN-10
0387954899
ISBN-13
9780387954899
eBay Product ID (ePID)
2221953

Product Key Features

Author
James E. Gentle
Publication Name
Elements of Computational Statistics
Format
Hardcover
Language
English
Series
Statistics and Computing Ser.
Publication Year
2005
Type
Textbook
Number of Pages
Xviii, 420 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
62.1 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Qa276.4-.45
Reviews
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 statisticsa? 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 pursuita? It would provide an excellent grounding for someone beginning to work in this areaa? " "The book by James Gentle illustrates statistical ideas and computational tools to explore, extract, and test for significance the information in collected data. a? The chapters have exercises and solutions. The book is suitable to be a text book in a graduate level course on computational statistics. a? I enjoyed reading a? and recommend a? 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 a? . Gentlea's prose is very readable, with many sections written in an almost conversational style. a? I highly recommend this book as a resource a? . 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 a? 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. a? The material covered is extensive. a? relevant references are given. The book also contains lots of exercises of varying level a? . The writing style in this book is accessible a? . 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. a? the book covers a lot of questions a? . So, this a? 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 a? as a'the class of statistical methods characterized by computational intensity and the supporting methods for such methodsa?'. a? There is good coverage here of an extensive range of statistical methods a? . Each chapter is accompanied by a good selection of challenging exercises a? . clear descriptions of the fundamentals together with several references to advanced topics for the interested reader. a? 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. a? The exercises are an important way of adding to the information that is gai
Table of Content
Methods of Computational Statistics.- 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.- Data Density and Structure.- Estimation of Probability Density Functions Using Parametric Models.- Nonparametric Estimation of Probability Density Functions.- Structure in Data.- Statistical Models of Dependencies.
Copyright Date
2002
Topic
Mathematical & Statistical Software, Probability & Statistics / General
Lccn
2002-067018
Dewey Decimal
519.5
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Mathematics

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Picture 1 of 1

Statistics and Computing Ser.: Elements of Computational Statistics by James E. Gentle (2005, Hardcover)

About this product

Product Information

Product Identifiers

Product Key Features

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Additional Product Features

All listings for this product

item 1 Elements of Computational Statistics (Statistics and Computing), Gentle, James E

item 2 Elements of Computational Statistics [Statistics and Computing]

item 3 Elements of Computational Statistics by James E Gentle: Used

item 4 Elements of Computational Statistics by James E Gentle: Used

item 5 Elements Of Computational Statistics

item 6 Elements of Computational Statistics by James E Gentle: New

item 7 Elements of Computational Statistics by James E. Gentle (English) Hardcover Book

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Leadership : Theory and Practice by Peter G. Northouse (2021, Trade Paperback, Revised edition)

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Research Design : Qualitative, Quantitative, and Mixed Methods Approaches by J. David Creswell and John W. Creswell (2022, Trade Paperback)

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