Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/21389
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18268/20495 (89%)
Visitors : 8617180      Online Users : 360
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    CNU IR > Chna Nan Annual Bulletin > No.29 (2003) >  Item 310902800/21389


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/21389


    题名: 一個修正的最小平方法估計三參數的對數常態分配
    The Estimation of Three-parameter Lognormal Distribution by a Modified Least Square Method
    作者: 陶舜華
    吳宜璈
    沈清泉
    贡献者: 醫務管理系
    資訊管理系
    关键词: 修正的最小平方估計法
    三參數的對數常態分配
    最大概似估計量
    Modified least squares estimator (MLSE)
    Three-parameter lognormal distribution
    Maximum likelihood estimator (MLE)
    日期: 2003
    上传时间: 2009-06-11 13:34:52 (UTC+8)
    摘要: 本文提供以修正的最小平方法來估計三參數的對數常態分配的參數,三參數即最低故障時間參數、尺度參數及形狀參數。一般常用的最大概似估計量(maximumlikelihood estimator)雖是最有效的估計量,然對三參數的估算卻是較麻煩的,本文提供一個較為簡易的方法來估計參數,而其方法經模擬比較與概似估計量在有效性與一致性(consistence)均是相似的。
    This investigation provides a modified least square method to estimate three parameters, i.e. threshold parameter, scale parameter, and shape parameter, of the lognormal distribution. MLE (Maximum Likelihood Estimator) is most often used and most efficient for the estimation of these three estimators. However, the estimation is quite complicated in three-parameter lognormal distribution. This article will demonstrate by simulation results the proposed modified least square
    method has similar efficiency and consistency to MLE, but is much simpler and easier to understand.
    關聯: 嘉南學報(科技類)29期:p.24-32
    显示于类别:[Chna Nan Annual Bulletin] No.29 (2003)
    [Dept. of Hospital and Health (including master's program)] Periodical Articles
    [Dept. of Information Management] Periodical Articles

    文件中的档案:

    档案 描述 大小格式浏览次数
    v29_24_32.pdf65KbAdobe PDF951检视/开启


    在CNU IR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 IR team Copyright ©   - 回馈