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

机译:用模型选择法推导增长曲线模型的等级

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摘要

In this paper we study the estimation of the rank of the parameter matrix(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.
机译:本文在模型选择的框架下研究了增长曲线模型中参数矩阵(RPM)的秩估计。遵循AIC标准,我们提出了一个新的通用标准,并获得了RPM的强一致性估计。我们分别在正常人口和一般情况的假设下得出结论。

著录项

  • 来源
    《系统科学与复杂性:英文版》 |2001年第2期|218-224|共7页
  • 作者单位

    Department of Statistics and Finance, University of Science and Technology of China,;

    Department of Statistics and Finance, University of Science and Technology of China,;

    Department of Statistics and Finance, University of Science and Technology of China,;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 概率论与数理统计;
  • 关键词

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