韋伯分配下轉折點的分析

dc.contributor蔡碧紋zh_TW
dc.contributorTsai, Pi-Wenen_US
dc.contributor.author李宜蓁zh_TW
dc.contributor.authorLi, I-Chenen_US
dc.date.accessioned2023-12-08T07:56:00Z
dc.date.available2022-08-16
dc.date.available2023-12-08T07:56:00Z
dc.date.issued2022
dc.description.abstract轉折點檢測是一個廣泛研究的統計學領域,它是估計數據集的統計特性發生轉折點的問題,檢測這類的變化在許多不同的應用領域都很重要,包含氣候學、金融學、海洋學。在本文中我們專注於單轉折點檢測,利用Pruned Exact Linear Time(PELT)方法檢定在韋伯分配下轉折點的分析,再以模擬的方法比較PELT以常態分配和韋伯分配去辨識轉折點位置和求出參數的估計值的結果。最後,我們會將分析一組實際的風速資料。zh_TW
dc.description.abstractChange point detection is a widely studied field of statistics. It is the problem of estimating change points in the statistical properties of datasets. Detecting such changes is important in many different application fields, including climatology, finance, and oceanography. In this paper, we focus on single change point detection, using Pruned Exact Linear Time(PELT)method to verify the analysis of change point under Weibull distribution, and then use simulation method to compare PELT with normal distribution and Weibull distribution to identify the change point locations and find the estimated value of the parameter. Finally, we will analyze a set of true wind speed data.en_US
dc.description.sponsorship數學系zh_TW
dc.identifier60940034S-41950
dc.identifier.urihttps://etds.lib.ntnu.edu.tw/thesis/detail/ca2d45b7abee6481ce3f3238dbbbfd69/
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/121109
dc.language中文
dc.subject時間序列zh_TW
dc.subject轉折點zh_TW
dc.subject風速zh_TW
dc.subject韋伯分配zh_TW
dc.subject常態分配zh_TW
dc.subjectTime seriesen_US
dc.subjectChange pointen_US
dc.subjectComputational Costen_US
dc.subjectPruned Exact Linear Time (PELT)en_US
dc.subjectNormal Distributionen_US
dc.subjectWeibull Distributionen_US
dc.title韋伯分配下轉折點的分析zh_TW
dc.titleDetection of Change Points For Weibull Distributionen_US
dc.typeetd

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