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    政大機構典藏 > 理學院 > 應用數學系 > 學位論文 >  Item 140.119/88738
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/88738


    Title: 從貝氏觀點診斷離群值及具有影響力之觀察值
    Some diagnostics for outliers and influential observations from Bayesian point of view
    Authors: 謝季英
    Shieh, Jih Ing
    Contributors: 宋傳欽
    Song, Chwan Chin
    謝季英
    Shieh, Jih Ing
    Keywords: 貝氏
    離群值
    影響力之觀測值
    不正當
    均數移動
    對稱均方差
    Bayesian
    outliers
    influential observations
    spurious
    mean- shift
    symmetric mean square difference
    Date: 1994
    Issue Date: 2016-04-29 16:32:25 (UTC+8)
    Abstract:   在線性迴歸分析中,資料的不適當,常導致研究者選擇了不當的模式,為避免此缺失,在分析資料前須先做好診斷工作。本文中將從貝氏觀點提出一些不同的診斷方法以供參考。首先推導出均數移動參數a=(a<sub>1</sub>,…,a<sub>k</sub>)`的事後分配,並利用a`a/k的事後均數診斷出不當資料點。接著,考慮在個別模式下以β事後分配之總變異及廣義變異為標準,診斷出離群值及具有潛在影響力之觀測值。最後,分別利用(i)β的事後分配(ii)σ<sup>2</sup>的事後分配(iii)(β,σ<sup>2</sup>)的聯合事後分配,推導出對應的對稱均方差以做為診斷標準。
      In this thesis, some different diagnostic methodologies for outliers and influential observations from Bayesian point of view are proposed. We firstly derive the marginal posterior distribution of the mean-shift parameter a=(a<sub>1</sub>,a<sub>k</sub>)<sup>1</sup>, then use the posterior mean of a<sup>1</sup>a/k to detect the spurious data items. Secondly, we use the posterior total variance and generalized variance of β as diagnostic criterions for outliers and influential observations. Finally, we utilize (i) the posterior distribution of β, (ii) the posterior distribution of σ<sup>2</sup>, and (iii) the joint posterior distribution of β, σ<sup>2</sup> to find their corresponding symmetric mean square differences , which can be used as diagnostic criterions.
    Description: 碩士
    國立政治大學
    應用數學系
    81155009
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002003906
    Data Type: thesis
    Appears in Collections:[應用數學系] 學位論文

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