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方差分析第二类模型中的均方合并
This article presents a procedure for estimating the true error variance σ2 3 after two preliminary tests of significance in ANOVA Model II and considers its comparison as regards to bias and mean square error with that of an unbiased estimator of σ2 3.
第二类方差分析模型中的均方合并
This article presents a procedure for estimating the true error variance σ2 3 after two preliminary tests of significance in ANOVA Model II and considers its comparison as regards to bias and mean square error with that of an unbiased estimator of σ2 3.
预先显著性检验后基于一个或两个样本的总体相关系数推断
Summary It is shown in this paper that under certain restrictions on population parameters, estimates formulated on the basis of a preliminary test of significance concerning inferences for a population correlation coefficient are better than the usual unbiased estimators.