| 研究生: |
周明瑄 Ming-Hsuan Chou |
|---|---|
| 論文名稱: |
廣義線性模型下之離散參數之迴歸係數之有母數強韌迴歸 |
| 指導教授: |
鄒宗山
Tsung-Shan,Tsou |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
理學院 - 統計研究所 Graduate Institute of Statistics |
| 畢業學年度: | 94 |
| 語文別: | 中文 |
| 論文頁數: | 72 |
| 中文關鍵詞: | 強韌概似函數 、離散參數 |
| 外文關鍵詞: | robust likelihood function, dispersion parameter |
| 相關次數: | 點閱:11 下載:0 |
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摘要
本研究之目的是在廣義線性模型下,利用Royall and Tsou(2003)提出的強韌概似函數方法,以常態分配當作實作模型,來提供離散參數(dispersion parameter)之迴歸係數之強韌有母數推論。
Abstract
This thesis utilizes the robust likelihood technique proposed by Royall and Tsou(2003) to develop parametric robust inferences about regression parameters for the dispersion in generalized linear models. The dispersion is related to its regression parameters also through a link function.
More specifically, the normal model is corrected to become robust. With large samples the adjusted normal likelihood is asymptotically legitimate for the parameter of interest, without the knowledge of the true underlying distributions. Simulations are used to demonstrate the efficacy of the proposed robust method.
Royall, R. M. and Tsou, T. S. (2003) Interpreting statistical evidence using imperfect models:Robust adjusted likelihood function.JRSS-B, 65 ,391-404.