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用于小区域估计的广义线性模型AI 解读

Bayesian methods have been used quite extensively in recent years for solving small-area estimation problems. Particularly effective in this regard has been the hierarchical or empirical Bayes approach, which is especially suitable for a systematic connection of local areas through models. However, the development to date has mainly concentrated on continuous-valued variates. Often the survey data are discrete or categorical, so that hierarchical or empirical Bayes…

指数族中Wald大样本检验统计量的非中心收敛AI 解读

It is shown that under very mild assumptions Wald's large-sample test statistic (quadratic form based on unrestricted maximum likelihood estimators) converges to noncentral chi-square under a sequence of local alternatives of the order $n^{-\frac{1}{2}}$, when the family of distributions is assumed to be of exponential type. This eliminates, for these families, the necessity of invoking the strict regularity conditions of Wald for the purpose of justifying the asymptotic…

已知测量误差方差的回归模型中条件均值与方差的比较AI 解读

When both variables in a normal regression model are masked by measurement errors of known variances, it is possible to obtain inferences about the parameters relating to the regression of the true variables. For two-sample problems, this article proposes tests of hypotheses of equality of (1) the regression coefficients and of (2) the residual variances, assuming a joint normal distribution on the predictor and predicted variables.

已知测量误差方差的回归模型中条件均值与方差的比较AI 解读

When both variables in a normal regression model are masked by measurement errors of known variances, it is possible to obtain inferences about the parameters relating to the regression of the true variables. For two-sample problems, this article proposes tests of hypotheses of equality of (1) the regression coefficients and of (2) the residual variances, assuming a joint normal distribution on the predictor and predicted variables.