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文章基本信息

  • 标题:Moment Generating Functions of Complementary Exponential-Geometric Distribution Based on k-th Lower Record Values
  • 本地全文:下载
  • 作者:Kumar, Devendra ; Dey, Sanku ; Malik, Mansoor Rashid
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2018
  • 卷号:17
  • 期号:1
  • 页码:6
  • 出版社:Wayne State University
  • 摘要:The complementary exponential-geometric (CEG) distribution is a useful model for analyzing lifetime data. For this distribution, some recurrence relations satisfied by marginal and joint moment generating functions of k-th lower record values were established. They enable the computation of the means, variances, and covariances of k-th lower record values for all sample sizes in a simple and efficient recursive manner. Means, variances, and covariances of lower record values were tabulated from samples of sizes up to 10 for various values of the parameters.
  • 关键词:k-th lower record value; marginal and joint moment generating function; recurrence relations; complementary exponential-geometric distribution.
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