博碩士論文 942205019 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator鄭宗政zh_TW
DC.creatorChung-cheng Chengen_US
dc.date.accessioned2008-6-25T07:39:07Z
dc.date.available2008-6-25T07:39:07Z
dc.date.issued2008
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=942205019
dc.contributor.department統計研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract在考慮多元資料的母體平均數之比較問題,通常假設資料服從多項分配下進行統計分析。但是當資料具有相關性時,根據此假設所得到的推論是不正確的。 本文將Royall and Tsou(2003)提出的強韌概似函數之方法,應用在多組母體平均數之比較,利用多項分配為實作模型,並且經過適當修正的概似函數,在考慮資料具有相關性情況下的正確之統計推論方法。zh_TW
dc.description.abstractThe aim of this paper is to extend the robust likelihood technique introduced by Royall and Tsou(2003) to the comparison of seven population means under the correlated multinomial data. More specifically the score test derived on basis of multinomial method is adjusted to become robust, and we also propose the unbiased moment covariance estimators in this thesis.en_US
DC.subject分數檢定zh_TW
DC.subject相關性資料zh_TW
DC.subject多項分配zh_TW
DC.subject強韌概似函數zh_TW
DC.subjectcorrealated dataen_US
DC.subjectscore testen_US
DC.subjectrobust likelihood functionen_US
DC.subjectmultinomailen_US
DC.title相關性資料之列聯表分析之初探zh_TW
dc.language.isozh-TWzh-TW
DC.titleAnalysis of Contingency table with Correalated dataen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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