博碩士論文 110225007 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator房錚zh_TW
DC.creatorChen Farngen_US
dc.date.accessioned2023-7-11T07:39:07Z
dc.date.available2023-7-11T07:39:07Z
dc.date.issued2023
dc.identifier.urihttp://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=110225007
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交叉設計是臨床實驗中常用的實驗手法。為了分析二元資料型態的交叉設計,本文使用獨立伯努利模型作為實作模型,利用強韌概似函數方法強韌化實作概似函數,得到強韌華德檢定統計量、強韌分數檢定統計量、強韌概似比檢定統計量,由此可得到正確的統計推論。 我們利用模擬研究與實例分析,比較強韌華德檢定統計量、強韌分數檢定 統計量、強韌概似比檢定統計量與Schouten and Kester(2009)提出的SK 檢定統計量分析結果的差異。zh_TW
dc.description.abstractCrossover design is a commonly used experimental technique in clinical trials. In order to analyze crossover design for binary data, the independent Bernoulli model is used as the working model, and the robust likelihood function method is used to robustize the working likelihood function to obtain the robust Wald statistics, robust score statistics and robust likelihood ratio statistics in this paper. From these, we can get correct statistical inferences. Using simulation research and case analysis, we can compare the differences between the robust Wald test statistics, the robust score test statistics, the robust likelihood ratio test statistics and the SK test statistics proposed by Schouten and Kester (2009) analysis results.en_US
DC.subject二元資料zh_TW
DC.subject交叉設計zh_TW
DC.subject強韌概似函數zh_TW
DC.subjectBinary dataen_US
DC.subjectCrossover designen_US
DC.subjectRobust likelihood functionen_US
DC.title二元資料型態的R(個序列)與C(個時間點)的交叉設計的強韌概似推論法zh_TW
dc.language.isozh-TWzh-TW
DC.titleRobust likelihood inferences the RxC crossover designs for general binary dataen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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