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主因素数量的置信区间

The Confidence Interval of Quantity of Main Factor

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【作者】 陈平云; 傅红春; 潘玮杰;

【Author】 Chen Pingyun etc

【机构】 美国Syracuse大学; 上海师范大学商学院; 上海师范大学商学院;

【Abstract】 This paper proposes a confidence interval for the number of important principal components in principal component analysis.An important component is defined as a principal component whose value is close to the value of the largest component.More specifically,a component λ i is called important if λ i> λ 1 is sufficiently close to 1.In the situation when several components are close to the top component and their variances are almost inseparable,our procedure will include all those “important” components while the usual criterion might miss some of them.

  • 【文献出处】 统计研究 ,Statistical Research , 编辑部邮箱 ,2005年06期
  • 【分类号】F224
  • 【被引频次】1
  • 【下载频次】164
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