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方差异质性建模：残差最大似然与诊断AI 解读

SUMMARY The assumption of equal variance in the normal regression model is not always appropriate. to attempt to eliminate unequal variance a transformation is often used but if the transformation is not successful, or the variances are of intrinsic interest, it may be necessary to model the variances in some way. We consider the normal regression model when log-linear dependence of the variances on explanatory variables is suspected. Detection of the dependence, estimation…

协变量变化时的重复测量设计分析AI 解读

A model proposed by Patel (1986) is re-examined. It is shown that the model can be written as seemingly unrelated regressions and estimation can be carried out simply. Estimation under constraints given by the general linear hypothesis is also discussed and a two-stage procedure proposed. Connexions with seemingly unrelated regressions with constraints between the regression parameters and the sum of profiles model of Verbyla & Venables (1988) are also given.

协变量随测量变化的重复测量设计分析AI 解读

A model proposed by Patel (1986) is re-examined. It is shown that the model can be written as seemingly unrelated regressions and estimation can be carried out simply. Estimation under constraints given by the general linear hypothesis is also discussed and a two-stage procedure proposed. Connexions with seemingly unrelated regressions with constraints between the regression parameters and the sum of profiles model of Verbyla & Venables (1988) are also given.