INFERENCE ON THE RANK OF THE GROWTH CURVE MODEL USING MODEL SELECTION METHOD

作     者：ZHAO Lincheng WANG Xuena WU Yaohua (Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China) ZHAO Lincheng WANG Xuena WU Yaohua (Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China)

作者机构：中国科学技术大学 安徽 合肥 230026 

出 版 物：《Journal of Systems Science & Complexity》 (系统科学与复杂性学报（英文版）)

年 卷 期：2001年第14卷第2期

页      面：218-224页

核心收录：

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学] 

基　　金：This research partially supported by National Natural Science Foundation of China(19631040  19971085) Ph.D. Program Foundation 

主　　题：AIC criterion EDC criterion growth curve model model selection variable selection. 

摘      要：In this paper we study the estimation of the rank of the parameter trix(RPM) in a growth curve model in the framework of model selection. Following AIC criterion we propose a new general criterion and obtain a strongly consistent estimate of the RPM. We come to our conclusions under the assumptions of normal population and a general case separately.