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Introduction to Statistics Through Resampling Methods and R/S-PLUS (Paperback)

by Phillip I. Good (Author)

3.0 out of 5 stars See all reviews (1 customer review)

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Editorial Reviews

Review
"…easy to read and provides many interesting examples." (The American Statistician, November 2006)

"This is certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see…it would make a good nightstand book for every statistician." (Technometrics, May 2006)

"Good, a well-published statistical expert, is adept at introducing new ideas with well-structured scenarios, nicely illustrating his points, and presenting them in an effective, conversational tone." (CHOICE, January 2006)

"I would recommend this book to readers new to statistics, practitioners who lack the basics of statistical estimation and hypothesis, and students who need a side reference…" (MAA Reviews, January 3, 2006)

" … clearly written and ha(s) a very informal style that is pleasant to read, making the text accessible to the many." (Significance: Vol. 3, 2)

"…the books have plenty of wise advice for the application of statistics…" (Bulletin of Mathematical Biology ,2007)

‘…a very good introduction to statistics and focuses on the variety of problems which will be of interest to students in different disciplines.’ (Statistical Papers,48, 2007)

Product Description
Introduction to Statistics Through Resampling Methods and R/S-PLUS(r) aspires to introduce statistical methodology to a wide audience, simply, intuitively, and efficiently, through resampling from data at hand and by way of the computer programs R and S-PLUS. The objective of the book is to use quantitative methods to characterize, review, report on, test, estimate, and classify findings.
Features include:
* The R and S-PLUS¨ programming are used to illustrate the concepts and to aid the reader in completing the exercises. R may be downloaded, without charge, for use under Windows, UNIX, or the Macintosh.
* One hundred or more exercises included in each chapter plus dozens of thought-provoking questions serve the needs of both classroom and self-study. The discovery method is utilized as often as possible, thereby forcing the conscientious reader to think her or his way to a solution rather than copy the answer or apply a formula straight out of the text
* Chatty, informal, sometimes humorous writing style allows greater access to a variety of reader backgrounds and interests
* Covers unusual topics such as tests and estimation procedures for one, two, and many samples; correlation; multivariable analysis; and complex experimental designs
* Provides a web site free of charge to all end-users that includes all data sets and programs in the text

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Product Details

Paperback: 248 pages
Publisher: Wiley-Interscience (July 13, 2005)
Language: English
ISBN-10: 0471715751
ISBN-13: 978-0471715757
Product Dimensions: 8.9 x 5.8 x 0.7 inches
Shipping Weight: 14.9 ounces (View shipping rates and policies)

Average Customer Review: 3.0 out of 5 stars See all reviews (1 customer review)

Amazon.com Sales Rank: #951,803 in Books (See Bestsellers in Books)

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	64% buy the item featured on this page: Introduction to Statistics Through Resampling Methods and R/S-PLUS 3.0 out of 5 stars (1) $84.95
	36% buy Resampling Methods: A Practical Guide to Data Analysis 4.0 out of 5 stars (8) $63.96

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1 of 1 people found the following review helpful:

3.0 out of 5 stars Almost Good, January 13, 2008

By	MAURICIO AGUIAR (Rio de Janeiro, RJ, Brazil) - See all my reviews (REAL NAME)

Even though the preface reads, "Intended for class use or self-study, this text aspires to introduce statistical methodology to a wide audience, simply and intuitively, through resampling from the data at hand", this book falls short of its goal - it is neither simple enough for those beginning in Statistics, nor a good first choice for those beginning in R/S-Plus (the software used in the examples).

The book may work for classroom use (where the instructor will fill in the gaps) but not as a first read for self-study. A chapter with solutions to the exercises or an independent solutions volume would certainly make self-study easier in this case.

However, notice that one already familiar with Statistics and R/S-Plus will be able to benefit from the book.

Look for other options if you are beginning both in Statistics and R/S-Plus - there are many. If you are specifically interested in resampling, check "Resampling: The New Statistics" by Julian Simon.

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