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两状态过程的拟合优度检验AI 解读

Binary data in which successive outcomes may be dependent frequently arise in a medical and social sciences context. A simple model for such data is a homogeneous 2-state Markov chain. Under this model one would usually treat the first observation in each sequence, Y1, as fixed. In the case of panel data this may constitute a substantial loss of information. In this paper we propose goodness-of-fit tests for the 2-state Markov model under several likely alternative…

两状态过程的拟合优度检验AI 解读

Binary data in which successive outcomes may be dependent frequently arise in a medical and social sciences context. A simple model for such data is a homogeneous 2-state Markov chain. Under this model one would usually treat the first observation in each sequence, Y1, as fixed. In the case of panel data this may constitute a substantial loss of information. In this paper we propose goodness-of-fit tests for the 2-state Markov model under several likely alternative…

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线性模型中对比方差的估计AI 解读

A common problem in the reporting of statistical analyses is the presentation of standard errors of nonindependent effects. In particular, it is desirable to provide a useful indication of the covariance structure of the parameter estimates. The problem is considered for several cases. First, in an analysis of covariance situation, we derive upper and lower bounds for the standard error of an arbitrary linear contrast of treatment effects; the method allows for unequal…