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平衡设计多向分类多元重复测量模型的Wilks检验

Wilks Test Rule of Multivariate Repeated Survey Model in Equilibrium Design and Multiple-Way Classification
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摘要 对平衡设计多向分类多元重复测量模型,利用极大似然比方法,推导了对各单个固定效应分别进行检验的Wilks型检验规则.并推导了对多个固定效应进行同时检验的检验规则.推导了非中心分布的参数与原始参数和样本容量的关系. By use of maximum likelihood ratio means, we present in this paper a Wilks test rule of each fixed effects in the equilibrium design and multiple-way classification model with repeated survey; then deduce a means to test each fixed effects simultaneously. At last, we deduce the function relation between non- central parameter and original parameter to reflected efficiency of this test rule.
作者 张新育
出处 《应用概率统计》 CSCD 北大核心 2010年第3期287-298,共12页 Chinese Journal of Applied Probability and Statistics
基金 国家自然科学基金项目(10671183)资助
关键词 多元重复测量模型 多向分类 平衡设计 极大似然比检验. Multiple repeated survey model, multidimensional allocation, equilibrium design, maximum likelihood ratio test.
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