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  • 标题:A Robust Confidence Interval for Location for Symmetric, Long-Tailed Distributions
  • 本地全文:下载
  • 作者:Alan M. Gross
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:1973
  • 卷号:70
  • 期号:7
  • 页码:1995-1997
  • DOI:10.1073/pnas.70.7.1995
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:A procedure called the wave-interval is presented for obtaining a 95% confidence interval for the center (mean, median) of a symmetric distribution that is not only highly efficient when the data have a Normal distribution but also performs well when some or all of the data come from a long-tailed distribution such as the Cauchy. Use of the wave-interval greatly reduces the risk of asserting much less than one's data will support. The only table required is the usual t-table. The wave-interval procedure is definitely recommended for samples of ten or more, and appears satisfactory for samples of nine or eight.
  • 关键词:wave-interval ; t -table
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