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Learning regression analysis by simulation

Author: Kunio Takezawa
Publisher: Tokyo : Springer, [2014]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
The standard approach of most introductory books for practical statistics is that readers first learn the minimum mathematical basics of statistics and rudimentary concepts of statistical methodology. They then are given examples of analyses of data obtained from natural and social phenomena so that they can grasp practical definitions of statistical methods. Finally they go on to acquaint themselves with  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Kunio Takezawa
ISBN: 9784431543213 443154321X 4431543201 9784431543206
OCLC Number: 862110264
Notes: "This is an English translation from the Japanese language edition."
Description: 1 online resource (xii, 300 pages) : illustrations
Contents: 1 Linear Algebra --
2 Distributions and Tests --
3 Simple Regression --
4 Multiple Regression --
5 Akaike's Information Criterion (AIC) and the Third Variance --
6 Linear Mixed Model.
Responsibility: Kunio Takezawa.

Abstract:

This book uses simulation data instead of actual data to show the functions of statistical methods, and includes programs written in free 'R' software that illustrate clearly how these methods work  Read more...

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From the reviews:"The book uses a slightly different approach to teach applied statistics. ... The free software R has been used to make easy-to-use the statistical techniques considered in the book Read more...

 
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