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  • 标题:Estimation of parameters of Pearson's type III population from generalised censored samples
  • 本地全文:下载
  • 作者:P.V.K. Iyer ; Naunuhal Singh
  • 期刊名称:Defence Science Journal
  • 印刷版ISSN:0976-464X
  • 出版年度:2014
  • 卷号:13
  • 期号:1
  • 页码:1-10
  • DOI:10.14429/dsj.13.6862
  • 语种:English
  • 出版社:Defence Scientific Information & Documentation Centre
  • 摘要:This paper deals with the problem of estimating the parameters of Pearson's Type III population from generalised censored samples. Maximum likelihood method is employed to arrive at the estimates. The ML equations are not readily solvable. This has been facilitated by providing a few graphs and tables. Standard errors (s.e.) of the estimates have been obtained by the method of scoring. A numerical example is discusses to illustrate the practical application of the method.
  • 关键词:Population;Parameters;Censored samples;Estimation
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