A Monte Carlo procedure is proposed for testing homogeneity of variances in linear models. The method is applicable to a variety of common experimental designs. It is valid when errors are independently normally distributed. Under nonnormality the test is expected to behave robust in a similar fashi
Testing for constant variance in a linear model
β Scribed by Angela Diblasi; Adrian Bowman
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 552 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
β¦ Synopsis
A nonparametric test of constant variance for the errors in a linear model is constructed through nonparametric smoothing of the residuals on a suitably transformed scale. Standard results on quadratic forms allow accurate distributional calculations to be made.
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