博碩士論文 100225017 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator羅曉媛zh_TW
DC.creatorHsiao-Yuan Loen_US
dc.date.accessioned2013-7-17T07:39:07Z
dc.date.available2013-7-17T07:39:07Z
dc.date.issued2013
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=100225017
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在比較性的研究中,我們可能將叢集資料如家庭成員劃分成對照組與實驗組。Tokola et al. (2011)提出一個不需母體之假設分配的方法來估計對照組與實驗組的差異,此方法亦可估算檢定力。他們的方法主要需正確的假設母體前兩階動差,然而,當動差的假設錯誤時,他們的方法可能也不具有強韌性,分析出來的結果可能是不正確的。 本文依據Royall and Tsou (2003)提出的強韌概似函數法,將多元負二項模型及多元常態模型強韌化後探討對照組與實驗組間是否有差異,並與Tokola et al. (2011)的方法比較檢定力與型一誤差機率。zh_TW
dc.description.abstractTokola et al (2011) proposed a statistic for estimating the treatment and control effects difference for cluster data. This statistic requires exchangeable correlation and common variances and is not sensitive to other distributional assumptions. We investigate the validity of their statistic when the second moment assumptions fail. We also robustify the normal and the negative binomial models so that they can adapt themself to the underlying distributions. We compare the three approaches in terms of their power performance.en_US
DC.subject叢集資料zh_TW
DC.subject強韌概似函數zh_TW
DC.subject多元負二項模型zh_TW
DC.subject多元常態模型zh_TW
DC.subjectcluster dataen_US
DC.subjectexchangeable correlationen_US
DC.subjectnormal modelen_US
DC.subjectnegative binomial modelen_US
DC.subjectpoweren_US
DC.title決定分析相關性資料時統計檢定力與樣本數的普世強韌法zh_TW
dc.language.isozh-TWzh-TW
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明