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首页> 外文期刊>Biometrical Journal >Approximate Confidence Intervals for Contrasts in the Balanced Three Factor Mixed Model
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Approximate Confidence Intervals for Contrasts in the Balanced Three Factor Mixed Model

机译:平衡三因素混合模型中对比度的近似置信区间

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摘要

When conducting a statistical analysis of data from a designed experiment, an investigator {s often interested in confidence intervals for contrasts of the fixed effect, If the analysis; myolv s a m x d linear model, exact confidence intervals for contrasts of the fixed effects are not always ava.lable. such cases, confidence intervals with approximate coverage probabilities must be useaAS will be shown, tnis promein may be generalized to that of constructing a confidence interval for the parameter μ, where X is a normal random variable with mean μ and variance ∑_(q=1)~Q a_qθ_q, where a1,...a~Q are known constants, U_q=n~pS_1~2/θ_q is a chi-squared random variable with n~q degrees of freedom, for each q=1,...,Q, and X,U_1,...U_Q are mutually independent. In this paper, we consider the case where Q=3 and a_3<0.
机译:当对设计的实验数据进行统计分析时,研究人员{通常对置信区间感兴趣,以获取固定效果的对比。由于myolv s是一个m x d线性模型,并非总是可获得固定效果对比的确切置信区间。在这种情况下,将显示必须使用具有近似覆盖概率的置信区间。应将tnis promein推广到构建参数μ的置信区间,其中X是具有均值μ和方差∑_(q = 1)〜Qa_qθ_q,其中a1,... a〜Q是已知常数,对于每个q = 1,U_q = n〜pS_1〜2 /θ_q是具有n〜q自由度的卡方随机变量。 ..,Q和X,U_1,... U_Q相互独立。在本文中,我们考虑Q = 3和a_3 <0的情况。

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