博碩士論文 942205011 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator李晧成zh_TW
DC.creatorHao-Cheng Leeen_US
dc.date.accessioned2007-7-17T07:39:07Z
dc.date.available2007-7-17T07:39:07Z
dc.date.issued2007
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=942205011
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本文針對具有常態分布誤差的數個迴歸模式,於其共變數可能範圍內,建立多條迴歸直線與一條對照迴歸直線差異之聯合單尾信賴域。針對具有單一共變數的兩條迴歸直線差異,本文求出確實的雙尾信賴帶或單尾信賴域之後應用Bonferroni不等式調整族誤差率以建立相關的聯合雙尾信賴帶或聯合單尾信賴域。針對具有多個共變數的數條迴歸直線比較,則是利用模擬的方法求得建立此一聯合單尾信賴域所需之臨界值。本文並進一步利用模擬方法,研究所提聯合單尾信賴域的覆蓋機率。最後,以實例說明所提方法之應用。zh_TW
dc.description.abstractThe problem of interest in this article is to construct simultaneous one-sided confidence regions for the difference between one controlled regression line with other several regression lines when the random errors are normally distributed. We propose an exact two-sided confidence band or one-sided confidence region for the difference of two simple linear regression lines and then suggest to construct such a simultaneous two-sided confidence band or one-sided confidence region by applying Bonferroni’s inequality for controlling the experiment error rate. For the comparison of several regression lines with one regression line when two or more covariates are involved, we consider to use a simulation-based method for finding the required critical value in the simultaneous one-sided confidence region. A simulation study is then conducted to investigate the coverage probability of the proposed confidence region. Finally, the application of the proposed procedures are demonstrated by illustrating a real data set.en_US
DC.subject迴歸直線zh_TW
DC.subject多重比較zh_TW
DC.subject聯合雙尾信賴帶zh_TW
DC.subject聯合單尾信賴域zh_TW
DC.subjectregression lineen_US
DC.subjectsimultaneous one-sided confidence regionsen_US
DC.subjectmultiple comparisonen_US
DC.subjectsimultaneous two-sided confidence banden_US
DC.title數條迴歸直線之多重比較zh_TW
dc.language.isozh-TWzh-TW
DC.titleMultiple Comparison of Several Regression Linesen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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