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MODEL SELECTION FOR LOG-LINEAR MODELS OF CONTINGENCY TABLES 被引量:1

MODEL SELECTION FOR LOG-LINEAR MODELS OF CONTINGENCY TABLES
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摘要 In this paper, we propose an information-theoretic-criterion-based modelselection procedure for log-linear model of contingency tables under multinomial sampling, andestablish the strong consistency of the method under some mild conditions. An exponential bound ofmiss detection probability is also obtained. The selection procedure is modified so that it can beused in practice. Simulation shows that the modified method is valid. To avoid selecting the penaltycoefficient in the information criteria, an alternative selection procedure is given.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2003年第2期249-259,共11页 系统科学与复杂性学报(英文版)
基金 This research is partially supported by National Natural Science Foundation of China (10171094), Ph.D. Program Foundation of Ministry of Education of China and Special Foundations of the Chinese Academy of Sciences USTC.
关键词 contingency tables log-linear model model selection strong consistency exponential bound 列联表 线性模型 模型选择强一致性 指数界 数学模拟
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