## Abstract In many applications of generalized linear mixed models to clustered correlated or longitudinal data, often we are interested in testing whether a random effects variance component is zero. The usual asymptotic mixture of chiβsquare distributions of the score statistic for testing const
A Monte Carlo Test for Variance Homogeneity in Linear Models
β Scribed by Hans-Peter Piepho
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 625 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
β¦ Synopsis
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 fashion as LEVENE'S test. Three examples are given to demonstrate the method.
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