English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 58323/91877 (63%)
造访人次 : 14363641      在线人数 : 86
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/53527


    题名: A fast algorithm for the nonparametric maximum likelihood estimate in the Cox-Gene model
    作者: Chang, I. S.;Wen, C. C.;Wu, Y. J.;Yang, C. C.
    贡献者: 淡江大學數學學系
    关键词: Age at onset;bootstrap;frailty;gene effect;profile likelihood;self-consistency equations
    日期: 2007-07
    上传时间: 2013-08-08 14:44:15 (UTC+8)
    出版者: Taipei: Academia Sinica * Institute of Statistical Science
    摘要: The Cox model with the gene effect for age at onset was introduced and studied by Li, Thompson and Wijsman (1998) and Li and Thompson (1997). This paper concerns the numerical performance of the nonparametric maximum likelihood estimate of the environmental effects and the genetic effect in this model. Based on the self-consistency equations derived from the score functions, we propose a fast iterative algorithm for the computations of the nonparametric maximum likelihood estimate and its asymptotic variance. Simulation studies conducted using these algorithms indicate that the profile likelihood-based normal approximations for the estimates are valid with reasonable sample sizes, and the bootstrap methods work well also for smaller sample sizes, and are computationally feasible.
    關聯: Statistica Sinica 17(3), p.841-855
    DOI: 
    显示于类别:[數學學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    A fast algorithm for the nonparametric maximum likelihood estimate in the Cox-Gene model.pdf264KbAdobe PDF77检视/开启
    index.html0KbHTML247检视/开启
    index.html0KbHTML187检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈