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Bayesian and non-bayesian solutions to analysis of covariance models under heteroscedasticity

✍ Scribed by Malwane M.A. Ananda


Book ID
108432757
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
134 KB
Volume
86
Category
Article
ISSN
0304-4076

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I n this paper we consider a covariance model under hetermcadastic variance8 and propose a procedure for tasting treatment effects. A simultaneous procedure for comparing the treatment effects is also developed. Some Monte Carlo studies indicete that the effects of departure from normality may not b