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    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/89640
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/89640


    Title: 離散資料之多重比較
    On multiple comparisons for discrete data
    Authors: 蘇聖珠
    Contributors: 宋文昌
    蘇聖珠
    Date: 1991
    1990
    Issue Date: 2016-05-02 17:02:43 (UTC+8)
    Abstract: 在生物學,醫學,社會科學等領域中,吾人常須分析離散資料。例如:生物學家培育新品種動植物之存活率資料; 醫生臨床實驗所得數據;社會工作專家藉抽樣調查所得之問卷資料多為離散資料。若欲同時比較離散資料各類別均值間之差異最適當的統計方法之一是統計多重比較。
    針對離散性資料,傳統的多重比較方法幾全是Scheffe的卡方投影或自其衍生之方法。一般而言,Scheffe的方法失之過份保守,即聯合信賴域的周界太長。本文之主旨即在研究改善傳統的方法並提出較精確的多重比較計算法則。值得強調的是:我們所提的比較方法皆奠基於大樣本之常態近似法則。此乃因應小樣本時,待比較參數的估計式,其分配函數常極其複雜的情況下,所必須採取的權宜措施。
    在研究結構方面,本文係採確立聯合信賴區間的方式,並依所欲比較參數之三種常見型態,分別探討離散資料之三種抽樣模式:多項、二項、波松分配模式。在參數估計方面,我們皆盡可能將資料試以適當之log-linear 模式,再以該模式為基礎進行所欲比較參數的估計。經典著名離散資料實例(散見於著名離散資料分析著作中)驗證,本論文所提之多重比較方法確實能改善傳統的方法。
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    Description: 碩士
    國立政治大學
    統計學系
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002005027
    Data Type: thesis
    Appears in Collections:[統計學系] 學位論文

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