博碩士論文 92221009 完整後設資料紀錄

DC 欄位 語言
DC.contributor數學系zh_TW
DC.creator鄭振成zh_TW
DC.creatorChen-Cheng Chengen_US
dc.date.accessioned2007-1-17T07:39:07Z
dc.date.available2007-1-17T07:39:07Z
dc.date.issued2007
dc.identifier.urihttp://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=92221009
dc.contributor.department數學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本文討論雙指數分布 ,柯西分布 , 分布(其中 表自由度為4之 分布)和常態分布 之間的接近程度,我們以鑑別分析作為判斷的標準,基本概念如下:較接近常態分布之分布在作常態性鑑別分析時鑑別正確率應較接近常態分布之鑑別正確率。較接近雙指數分布之分布在作雙指數性鑑別分析時鑑別正確率應較接近雙指數分布之鑑別正確率。較接近柯西分布之分布在作柯西性鑑別分析時鑑別正確率應較接近柯西分布之鑑別正確率。我們將用計算機模擬方式比較鑑別正確率,藉以判斷分布間之接近程度。zh_TW
dc.description.abstractIn this paper , we discuss the closeness of two density functions by discriminant analysis . The idea is as follows . Consider the discriminant analysis based on f , for those g that are close to f , the error rate of discriminantions for g will be close to error rate of discriminantions for f . We will make comparisons between transformed Normal , Double Exponential , Cauchy and t distributions by simulations .en_US
DC.subject鑑別分析zh_TW
DC.subjectDiscriminant Analysisen_US
DC.title以鑑別分析測量分布間之接近度zh_TW
dc.language.isozh-TWzh-TW
DC.titleMeasure the Closeness of Density Functions by Discriminant Analysisen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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