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文章基本信息

  • 标题:A Monte Carlo Sampling Approach to Testing Separate Families of Hypotheses: Monte Carlo Results
  • 本地全文:下载
  • 作者:Coulibaly, Nouhoun ; Brorsen, B. Wade
  • 期刊名称:Journal of Food Distribution Research
  • 印刷版ISSN:0047-245X
  • 出版年度:1997
  • 期号:SUPPL
  • 出版社:Food Distribution Research Society
  • 摘要:Monte Carlo experiments are designed to compare the finite sample performances of two Monte Carlo hypothesis tests with Pesaran and Pesaran's Cox-type test. The size of the Pesaran and Pesaran test is generally incorrect. The Monte Carlo tests perform equally well and are both preferred to Pesaran and Pesaran's test.
  • 关键词:Cox test; Monte Carlo test; nonnested hypotheses
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