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  • 标题:Bootstrap in Detection of Changes in Linear Regression
  • 本地全文:下载
  • 作者:Marie Hu\v{s}kov\'a ; Charles University in Prague ; Czech Academy of Sciences
  • 期刊名称:Sankhya. Series A, mathematical statistics and probability
  • 印刷版ISSN:0976-836X
  • 电子版ISSN:0976-8378
  • 出版年度:2005
  • 卷号:67
  • 期号:02
  • 出版社:Indian Statistical Institute
  • 摘要:Applications of bootstrap with and without replacement in change point analysis in linear regression models are discussed. Particularly, bootstrap based approximations for critical values for two classes of $M$-type test procedures are treated. As a particular case, we obtain $L_1$ procedures and regression quantile procedures. Their asymptotic performance is investigated and finite sample properties are checked in a~simulation study.
  • 关键词:Linear regression, structural changes, $M$-test procedures, bootstrap with and without replacement.
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