Regression Analysis of Interval Data

Kenneth J. Berry, Paul W. Mielke and Janis E. Johnston
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Kenneth J. Berry: Colorado State University, Department of Sociology
Paul W. Mielke: Colorado State University, Department of Statistics
Janis E. Johnston: U.S. Government

Chapter 4 in Permutation Statistical Methods, 2016, pp 115-215 from Springer

Abstract: Abstract Chapter 4 continues Chap. 3 , utilizing the multi-response permutation procedures developed in Chap. 2 for analyzing completely randomized data at the interval level of measurement. In Chap. 4 , multi-response permutation procedures are used to analyze regression residuals generated by ordinary least squares (OLS) and least absolute deviation (LAD) regression models. Experimental designs presented and analyzed in Chap. 4 include one-way randomized, one-way randomized with a covariate, one-way randomized-block, two-way randomized-block, two-way factorial, Latin square, split-plot, and two-factor nested designs.

Date: 2016
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DOI: 10.1007/978-3-319-28770-6_4

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