政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/77044

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 112721/143689 (78%)
Visitors : 49646903 Online Users : 363

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大典藏 > College of Commerce > Department of Statistics > NSC Projects > Item 140.119/77044

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/77044

Title:	計數迴歸模型之穩健診斷
Other Titles:	Robust Diagnostics for Count Regression Models
Authors:	鄭宗記
Contributors:	統計學系
Keywords:	計數迴歸模型;快速演算法;最小削減離差估計;最大削減概似估計;離群值
Date:	2013
Issue Date:	2015-07-28 17:14:35 (UTC+8)
Abstract:	在計量經濟、社會及醫學科學等領域中，經常會對計數（count)的資料進行模型化的工作；卜瓦松（Poisson)及負二項（negative binomial)迴歸模型則是最常用來分析此類資料的兩種分析方法。然而，離群值（outliers)會影響到此二計數迴歸模型之係數的最大概似估計結果。本計晝考慮以最大削減概似估計（maximum trimming likelihood estimation)及最小削減離差估計（minimum trimmed deviance residuals estimation)來處理具離群值的計數迴歸模型之穩健估計結果；並利用快速演算法（fast algorithm)以獲致此二估計值。模擬與實際資料將用來檢驗所提出的估計方法。
Relation:	計畫編號NSC102-2118-M004-004
Data Type:	report
Appears in Collections:	[Department of Statistics] NSC Projects

Files in This Item:

File	Description	Size	Format
102-2118-M-004-004.pdf		881Kb	Adobe PDF2	441	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...