Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Concise Guide to StatisticsRegression

A Concise Guide to Statistics: Regression [Regression analysis describes the influence of covariates on a response variable. Two regression models are discussed: linear regression on one or several covariates and analysis-of-variance. Methods for estimating the respective model parameters and hypothesis tests for eliminating non-significant covariates are presented.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Concise Guide to StatisticsRegression

Download PDF
32 pages

Loading next page...
 
/lp/springer-journals/a-concise-guide-to-statistics-regression-mKHYVsEKyE
Publisher
Springer Berlin Heidelberg
Copyright
© Hans-Michael Kaltenbach 2012
ISBN
978-3-642-23501-6
Pages
77 –108
DOI
10.1007/978-3-642-23502-3_4
Publisher site
See Chapter on Publisher Site

Abstract

[Regression analysis describes the influence of covariates on a response variable. Two regression models are discussed: linear regression on one or several covariates and analysis-of-variance. Methods for estimating the respective model parameters and hypothesis tests for eliminating non-significant covariates are presented.]

Published: Sep 17, 2011

Keywords: Linear regression; Model reduction; ANOVA

There are no references for this article.