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Fixed-Width Confidence Intervals in Linear Regression With Applications to the Johnson-Neyman Techniques ANCOVA

Author(s):
Aitkin, Murray A.
Publication Year:
1972
Report Number:
RB-72-18
Source:
ETS Research Bulletin
Document Type:
Report
Page Count:
17
Subject/Key Words:
Analysis of Covariance (ANCOVA), Gafarian, A.V., Johnson-Neyman Technique, Mathematical Applications, Mathematical Models, Multiple Regression Analysis, Statistical Analysis

Abstract

Fixed-width confidence intervals for a population regression line over a finite interval of x have recently been derived by Gafarian. The method is extended to provide fixed-width confidence intervals for the difference between two population regression lines, resulting in a simple procedure analogous to the Johnson-Neyman technique. (Author) (17pp.)

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