English  |  正體中文  |  简体中文  |  Items with full text/Total items : 74010/74010 (100%)
Visitors : 24081716      Online Users : 568
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

    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65485

    Title: 如何在統合分析中正確的使用已知的訊息
    Authors: 徐麗茵;Hsu,Le-Yin
    Contributors: 統計研究所
    Keywords: 統合分析;強韌迴歸;Meta-analysis;robust regression
    Date: 2014-07-16
    Issue Date: 2014-10-15 15:32:57 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 統合分析是一門綜合不同研究中的資訊,以針對所感興趣的共同特徵加以分析而得到統計推論的學科。本篇論文所關注的是在統合分析中如何結合不同研究的變異。除了採用典型的常態模型外,我們同時也使用了伽瑪分配及逆高斯分配以探討如何研究並結合變異以得到正確的結論。;Meta-analysis is a discipline that gathers information from different studies and provides a summary statistic (or statistics) about the characteristic of common interests in the studies. This dissertation is concerned with how variations of various studies should be incorporated in Meta-analysis. In addition to the typically adopted normal model, we use gamma and inverse Gaussian distributions to explore how investigators should integrate variations to draw conclusions.
    Appears in Collections:[統計研究所] 博碩士論文

    Files in This Item:

    File Description SizeFormat

    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明