English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 114205/145239 (79%)
Visitors : 52395546      Online Users : 675
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/83109
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/83109


    Title: 羅吉斯迴歸模式的診斷方法與探討
    Authors: 許瓈云
    Contributors: 江振東
    許瓈云
    Keywords: 羅吉斯迴歸模式
    模式診斷
    Date: 2000
    Issue Date: 2016-03-30 19:12:49 (UTC+8)
    Abstract: 在運用羅吉斯迴歸模式作資料分析時,若是違反了模式的假設,則所做出來的模式都會導致錯誤的統計推論。因此,模式的診斷常常被應用來發掘問題並判斷假設是否合理。本研究是將以往文獻中相關議題的討論做一個有系統的整理,俾便往後的研究者在作羅吉斯迴歸模式診斷時,能有一個可以依循的準則。此外,每種模式診斷的方法皆附上範例及分析過程以供參考。
    When the assumptions of logistic regression analysis are violated, any calculation of a logistic model may lead to invalid statistical inference. Diagnostics are frequently employed to explore problems and determine whether certain assumptions are reasonable. We survey relevant literatures on diagnostics and try to provide a guideline for detecting and correcting violations of logistic regression assumptions.
    Reference: Andrews, D. F. and D. Pregibon. (1978). Finding the outliers that matter. Journal of the Royal Statistical Society, Series B40, 85-94.
    Belsley, D. A., E. Kuh. and R. E. Welsch. (1980). Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. John Wiley and Sons, New York.
    Christensen, R. (1997). Log-linear Models and Logistic Regression. Springer-Verlag, New York.
    Collett, D. (1991). Modelling Binary Data. Chapman and Hall, London.
    Cook, R. D. (1977). Detection of influential observations in linear regression. Technometrics, 19, 15-18.
    Cook, R. D. (1979). Influential observations in linear regression. Journal of the American statistical Association, 74, 169-174.
    Copas, J. B. (1988). Binary regression models for contaminated data (with discussion). Journal of the Royal Statistical Society, Series B50, 225-265.
    Fowlkes, E. B. (1987). Some diagnostics for binary regression via smoothing. Biometrika, 74, 503-505.
    Hoaglin, D. C. and R. E. Welsch. (1978). The hat matrix in regression and ANOVA. The American Statistician, 32, 17-22.
    Hosmer, D. W. and S. Lemeshow. (1980). A goodness-of-fit test for the multiple logistic regression model. Communications in Statistics. A9(10), 1043-1069.
    Hosmer, D. W. and S. Lemeshow. (1989). Applied Logistic Regression. John Wiley and Sons, New York.
    Hosmer, D. W., S. Taber, and S. Lemeshow. (1991). The importance of assessing the fit of logistic regression models: a case study. American Journal of Public Health, 81, 1630-1635.
    Jennings, D. E. (1986). Outliers and residual distributions in logistic regression. Journal of the American Statistical Association, 81, 987-990.
    Kay, R. and S. Little. (1986). Assessing the fit of the logistic model: a case study of children with the haemolytic uraemic syndrome. Applied Statistics, 35, 16-30.
    Kim, C. and K. Jeong. (1993). On the logistic regression diagnostics. Journal of the korean Statistical Society, 22, 27-37.
    Landwehr, J. M., D. Pergibon, and A. C. Shoemaker. (1984). Graphical methods for assessing logistic regression models. Journal of the American statistical Association, 79, 61-71.
    Pregibon, D. (1981). Logistic regression diagnostics. Annals of Statistics, 9, 705-724.
    Ryan, T. P. (1996). Modern Regression Methods. John Wiley and Sons, New York.
    Wang, P. C. (1987). Residual plots for detecting nonlinearity in generalized linear models. Technometrics, 29, 435-438.
    Description: 碩士
    國立政治大學
    統計學系
    86354012
    Source URI: http://thesis.lib.nccu.edu.tw/record/#A2002001931
    Data Type: thesis
    Appears in Collections:[統計學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    193101.pdf52KbAdobe PDF2272View/Open
    193102.pdf203KbAdobe PDF2214View/Open
    193103.pdf87KbAdobe PDF2234View/Open
    193104.pdf101KbAdobe PDF2225View/Open
    193105.pdf64KbAdobe PDF2229View/Open
    193106.pdf170KbAdobe PDF2314View/Open
    193107.pdf198KbAdobe PDF2277View/Open
    193108.pdf194KbAdobe PDF2280View/Open
    193109.pdf52KbAdobe PDF2239View/Open
    193110.pdf52KbAdobe PDF2282View/Open
    193111.pdf52KbAdobe PDF2260View/Open
    193112.pdf502KbAdobe PDF2287View/Open
    193113.pdf52KbAdobe PDF2305View/Open
    193114.pdf52KbAdobe PDF2256View/Open
    193115.pdf52KbAdobe PDF2266View/Open
    193116.pdf2338KbAdobe PDF2231View/Open
    193117.pdf52KbAdobe PDF2254View/Open
    193118.pdf52KbAdobe PDF2280View/Open
    193119.pdf52KbAdobe PDF2259View/Open
    193120.pdf1015KbAdobe PDF2261View/Open
    193121.pdf52KbAdobe PDF2220View/Open
    193122.pdf52KbAdobe PDF2253View/Open
    193123.pdf80KbAdobe PDF2227View/Open
    193124.pdf123KbAdobe PDF2219View/Open
    193125.pdf532KbAdobe PDF2237View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    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.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback