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- W2554218148 abstract "We study the general linear model (GLM) with doubly distributed error for m observed random variables. The doubly general linear model (DEGLM) arises when the m dimensional error vectors are doubly exchangeable (dened later), jointly normally distributed, which is a much weaker assumption than the independent and identically distributed error vectors as in the case of GLM or classical GLM (CGLM). We estimate the parameters in the model and also nd their distributions. We show that the testings of intercept and slope are possible in DEGLM as a particular case using parametric bootstrap as well as multivariate Satterthwaite approximation." @default.
- W2554218148 created "2016-11-30" @default.
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- W2554218148 date "2010-01-01" @default.
- W2554218148 modified "2023-09-27" @default.
- W2554218148 title "Inference in linear models with doubly exchangeable distributed errors" @default.
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