The MASBR (maximum sum of binary-coded residuals) procedure proposed previously as a robust regression method has been modified and applied to find the linear substructures in a data set. A graphic approach is used to identify the acceptable error limit (AEL) in the MASBR algorithm. Some data sets w
Critical Values of ‘Maximum Studentized Residual’ Statistics in Multiple Linear Regression
✍ Scribed by Dr. S. R. Paul
- Publisher
- John Wiley and Sons
- Year
- 1985
- Tongue
- English
- Weight
- 224 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0323-3847
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✦ Synopsis
I n multiple linear regression, test for the discordancy of a single outlier in the response variable is usually baaed on the 'maximum studentized residual' statistic. Exact critical values for the test statistic t are not available. Upper bounds for the critical values have been found by S B ~N -TAN (1961). F'RESCOTT (1975) and LUND (1976). I n this note we show that all these upper bounds are algebraically equivalent.
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