博碩士論文 952201022 完整後設資料紀錄

DC 欄位 語言
DC.contributor數學系zh_TW
DC.creator李世懿zh_TW
DC.creatorShih-yi Lien_US
dc.date.accessioned2008-6-29T07:39:07Z
dc.date.available2008-6-29T07:39:07Z
dc.date.issued2008
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=952201022
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分布函數為機率上重要的分析工具,其重要性不亞於機率密度函數及特徵函數。在統計上分布函數也有很多應用,令$F$表一分布函數,則$F^{-1}$可用於隨機變數之模擬及穩定型分布(stable distribution)之冪數(exponent)的估計。通常分布函數是未知的,必需用樣本估計。分布函數未知時,常用之分布函數的估計式為經驗分布(empirical distribution function)。本文之目的為研究$F^{-1}$的估計,但上述經驗分布卻因其反函數不存在,故不能直接運用。本文提出$F^{-1}(y)$之核估計式$widehat{F}^{-1}(y)$,因此式之機率性質非常複雜,故本文將以電腦模擬方式研究$widehat{F}^{-1}(y)$之漸近一致性(asymptotic consistency)及漸近常態性(asymptotic normality)。zh_TW
dc.description.abstractThe inverse function of a distribution function has many applications in statistics. In practice, the inverse function is unknown and has to be estimated. The purpose of this paper is to discuss a kernel estimator $widehat{F}^{-1}(y)$ of the inverse function $F^{-1}(y)$ of a distribution function $F(x)$. Since the theoretical property of $widehat{F}^{-1}(y)$ is extremely complicated, we will investigate the asymptotic consistency and asymptotic normality of $widehat{F}^{-1}(y)$ via computer simulations.en_US
DC.subject分布函數之反函數zh_TW
DC.subject核估計zh_TW
DC.subjectinverse distribution functionen_US
DC.subjectkernel estimatoren_US
DC.title分布函數之反函數之核估計的模擬研究zh_TW
dc.language.isozh-TWzh-TW
DC.titleA Simulation Study for Kernel Estimator of Inverse Distribution Functionen_US
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