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題名 雙尾設限資料的尺度參數之研究
On Statistical Inference for Scale Parameter with Doubly Censored Data
作者 張永寬
貢獻者 黃登源<br>童甲春
張永寬
日期 1999
上傳時間 14-Apr-2016 13:57:30 (UTC+8)
摘要 本論文主旨在研究雙尾設限資料的尺度參數估計式的統計性質與應用。這個估計式適用一般的位置-尺度分配(location-scale distributions),並且它的變異數有一個容易使用的解析式。應用時,可以先固定樣本數與左尾設限數,然後控制變異數小於預設值,就可以決定右尾設限數。有關不對稱的壽命資料,作者將處理韋伯分配(Weibull distributions)形狀參數的推估問題;這等同於處理極值分配(extreme-value distributions)尺度參數的推估問題。有關對稱的隨機資料,作者將分別導出trimmed mean與Winsorized mean的標準誤的解析式,並以常態分配為例,研究統計量的性質。另外,論文中經常用到順序統計量的期望值、變異數與共變異數,也將提出一般的近似公式。
In this article, we will study a robust scale estimator for location-scale distributions with Type II doubly censored data. Its standard error will be derived analytically. Determining censoring numbers under controlling the standard error is studied. For asymmetric distributions, an estimator of the shape parameter of the Weibull distribution will be discussed. Equivalently, we will study the estimator of the scale parameter of Extreme Value distribution. For symmetric distributions, the standard errors of trimmed mean and Winsorized mean will be studied. Some analytical expressions for the means, variances, and covariances of order statistics are derived for our estimators. In the cases of the standard Extreme Value distribution and the standard normal distribution are also discussed.
描述 博士
國立政治大學
統計學系
資料來源 http://thesis.lib.nccu.edu.tw/record/#A2002000641
資料類型 thesis
dc.contributor.advisor 黃登源<br>童甲春zh_TW
dc.contributor.author (Authors) 張永寬zh_TW
dc.creator (作者) 張永寬zh_TW
dc.date (日期) 1999en_US
dc.date.accessioned 14-Apr-2016 13:57:30 (UTC+8)-
dc.date.available 14-Apr-2016 13:57:30 (UTC+8)-
dc.date.issued (上傳時間) 14-Apr-2016 13:57:30 (UTC+8)-
dc.identifier (Other Identifiers) A2002000641en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/84409-
dc.description (描述) 博士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 統計學系zh_TW
dc.description.abstract (摘要) 本論文主旨在研究雙尾設限資料的尺度參數估計式的統計性質與應用。這個估計式適用一般的位置-尺度分配(location-scale distributions),並且它的變異數有一個容易使用的解析式。應用時,可以先固定樣本數與左尾設限數,然後控制變異數小於預設值,就可以決定右尾設限數。有關不對稱的壽命資料,作者將處理韋伯分配(Weibull distributions)形狀參數的推估問題;這等同於處理極值分配(extreme-value distributions)尺度參數的推估問題。有關對稱的隨機資料,作者將分別導出trimmed mean與Winsorized mean的標準誤的解析式,並以常態分配為例,研究統計量的性質。另外,論文中經常用到順序統計量的期望值、變異數與共變異數,也將提出一般的近似公式。zh_TW
dc.description.abstract (摘要) In this article, we will study a robust scale estimator for location-scale distributions with Type II doubly censored data. Its standard error will be derived analytically. Determining censoring numbers under controlling the standard error is studied. For asymmetric distributions, an estimator of the shape parameter of the Weibull distribution will be discussed. Equivalently, we will study the estimator of the scale parameter of Extreme Value distribution. For symmetric distributions, the standard errors of trimmed mean and Winsorized mean will be studied. Some analytical expressions for the means, variances, and covariances of order statistics are derived for our estimators. In the cases of the standard Extreme Value distribution and the standard normal distribution are also discussed.en_US
dc.description.tableofcontents 封面頁
證明書
致謝詞
論文摘要
目錄
表目錄
圖目錄
1. Introduction
2. Generalized Tukey  Distributions and Moments of Order Statistics
3. Inference for Shape Parameter on Weibull Distributions with Doubly Censored Data
4. Inference for Trimmed Mean and Winsorized Mean on Symmetric Location-scale Distributions with Doubly Censored Data
5. Conclusions
References
zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#A2002000641en_US
dc.title (題名) 雙尾設限資料的尺度參數之研究zh_TW
dc.title (題名) On Statistical Inference for Scale Parameter with Doubly Censored Dataen_US
dc.type (資料類型) thesisen_US