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A Comparison of Weighted Tests for a Slope Change in Simple Regression

✍ Scribed by Abd-Elnaser S. Abd-Rabou; Emad-Eldin A. A. Aly

Publisher: John Wiley and Sons
Year: 2000
Tongue: English
Weight: 77 KB
Volume: 42
Category: Article
ISSN: 0323-3847
DOI: 10.1002/1521-4036(200012)42:8<1033::aid-bimj1033>3.0.co;2-0

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✦ Synopsis

Testing for a change in the slope of the simple linear regression model has many applications in biosciences, quality control and survival analysis. This paper compares Anderson-Darling and Erdo ´s-Darling type test statistics which are based on the least squares change point process of Sen (1980) with the corresponding Kolmogorov-Smirnov and Cr amer-von Mises type test statistics. We estimated the limiting critical values of these test statistics and conducted Monte Carlo simulation studies to compare their powers.

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