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双因素方差分析中交互作用的同时统计推断AI 解读

Three statistics for testing additivity and making detailed inferences on interactions in a two-way setup are considered. The first method uses the well-known sum of squares for testing and yields Scheffé bounds for all contrasts; the second introduces a maximum characteristic root statistic and Roy bounds, but is restricted to product-type contrasts; the last is limited to tetrad differences and its statistic is the maximum of all such differences. Bounds on percentage…

双因素方差分析中交互作用的同时统计推断AI 解读

Three statistics for testing additivity and making detailed inferences on interactions in a two-way setup are considered. The first method uses the well-known sum of squares for testing and yields Scheffé bounds for all contrasts; the second introduces a maximum characteristic root statistic and Roy bounds, but is restricted to product-type contrasts; the last is limited to tetrad differences and its statistic is the maximum of all such differences. Bounds on percentage…

对数正态线性模型中的估计AI 解读

Let Y = ey where the usual assumptions of the general linear models: y = Xa+u, u ∼ N(0, σ2 I) are made. Extending the results of Finney minimum variance unbiased estimators, τ, of parametric functions of the type are established. Expressions for the variance of τ and an unbiased estimator of the variance are obtained. The results are in terms of functions whose numerical values are tabulated.