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Some Tests for Homoscedasticity
Stephen M. Goldfeld and Richard E. Quandt
Journal of the American Statistical Association
Vol. 60, No. 310 (Jun., 1965), pp. 539-547
Stable URL: http://www.jstor.org/stable/2282689
Page Count: 9
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Two exact tests are presented for testing the hypothesis that the residuals from a least squares regression are homoscedastic. The results can be used to test the hypothesis that a linear [ratio] model explains the relationship between variables as opposed to the alternative that the ratio [linear] specification is correct. The first test is parametric and uses the F-statistic. The second test is nonparametric and uses the number of peaks in the ordered sequence of unsigned residuals. In conclusion, the results of some experimental calculations of the powers of the tests are discussed.
Journal of the American Statistical Association © 1965 American Statistical Association