博碩士論文 942201016 完整後設資料紀錄

DC 欄位 語言
DC.contributor數學系zh_TW
DC.creator周宗翰zh_TW
DC.creatorTsung-han Chouen_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=942201016
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穩定型分布之冪數因未出現於密度函數或分布函數,故不易估計,本文介紹一些估計冪數的方法。我們發現,單峰穩定型分布之冪數為密度函數或分布函數之泛函,故可由核密度函數估計式或經驗分布估計之。我們將討論這些估計式的性質及應用。zh_TW
dc.description.abstractThe collection of stable distributions is a particular class of distributions studied in probability and statistics. Let $X,X_1,ldots,X_k$ denote a sequence of i.i.d. random variables with a common distribution $R$. If for all positive integer $k$, $X$ and $frac{X_1+cdots+X_k}{k^alpha}$ have the same distribution for some constant $alpha$, then $R$ is a stable distribution with exponent $frac{1}{alpha}$. It is difficult to estimate exponent $alpha$ since $alpha$ does not appear in probability density function. The purpose of this paper is to study some estimators of $alpha$ and their applications. We find that under unimodal assumption $alpha$ is a functional of probability density function or distribution function. Consequently, $alpha$ can be estimated by kernel density estimators or empirical distributions.en_US
DC.subject經驗分布zh_TW
DC.subject密度函數估計式zh_TW
DC.subject冪數zh_TW
DC.subject穩定型分布zh_TW
DC.subjectstable distributionsen_US
DC.subjectempirical distributionsen_US
DC.subjectkernel density estimatorsen_US
DC.subjectexponenten_US
DC.title單峰穩定型分布之冪數的經驗分布及核密度函數估計法zh_TW
dc.language.isozh-TWzh-TW
DC.titleExponent Estimations for Unimodal Stable Distribution based on Empirical Distributions and Kernel Density Estimatorsen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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