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Bivariate generalized gamma distributions of Kibble's type

机译:Kibble类型的双变量广义伽玛分布

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摘要

In this paper, a new type of bivariate generalized gamma (BGG) distribution derived from the bivariate gamma distribution of Kibble [Two-variate gamma-type distribution. Sankhya 1941;5:137-150] by means of a power transformation is presented. The explicit expressions of statistical properties of the BGG distribution are presented. The estimation of marginal and dependence parameters using the method of moments and the method of inference functions for margins are discussed, and their performance through a Monte Carlo simulation study is assessed. Finally, an example is given to illustrate the applicability of the distributions introduced here.
机译:在本文中,一种新的双变量广义伽玛(BGG)分布是从Kibble的双变量伽玛分布[二变量伽玛类型分布。 Sankhya 1941; 5:137-150]提出了一种通过功率变换的方法。提出了BGG分布的统计属性的明确表达。讨论了使用矩量法和边际推导函数法对边际参数和依存关系参数的估计,并通过蒙特卡洛模拟研究评估了它们的性能。最后,给出一个示例来说明此处介绍的分布的适用性。

著录项

  • 来源
    《Statistics》 |2014年第6期|933-949|共17页
  • 作者单位

    Statistics, National Chengchi University, No. 64, Sec. 2, Zhinan Road, Taipei 116, Taiwan, Republic of China;

    Graduate Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan, Republic of China;

    Department of Mathematics, Tamkang University, New Taipei City, Taiwan, Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    bivariate gamma distribution; method of moments; inference functions for margins;

    机译:双变量伽马分布;时刻法;边际推断函数;

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