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題名 RC(M)模型之探討
On RC(M) Models
作者 高佩瑄
Kao, Pei-Hsuan
貢獻者 江振東
高佩瑄
Kao, Pei-Hsuan
關鍵詞 關聯型模型
相關性模型
對應分析模型
Association models
Correlation models
Correspondence analysis models
日期 2001
上傳時間 15-Apr-2016 16:09:57 (UTC+8)
摘要 本文是就有序變數的模型在 個不同“維度”的架構下做探討，主要可以區分成兩部份。
We examine statistical models for ordinal variables that allow for more then one“ dimension ”of association in this study. The focus are on the following two types of models:
參考文獻 Agresti, A. (1996), “An Introduction to Categorical Data Analysis”, New York: Wiley.
     Anderson J. C. (1996), “The Analysis of Three-way Contingency Table by Three-mode Association Models”, Psychometrika, 61, 465-483.
     Becker, M. P. (1990), “Maximum Likelihood Estimation of the RC(M) Association Model”, Applied Statistics, 39,152-166.
     Benzecri J.-P. (1992), “Correspondence Analysis Handbook”, Marcel Dekker, Inc..
     Clogg, C.C., Eliason, S. R. and Wahl, R. (1990), “Labor-Market Experiences and Labor-Force Outcomes”, American Journal of Sociology, 95, 1536-1576.
     Clogg, C.C. and Shihadeh S. E. (1994), “Statistical Models for Ordinal Variables”, SAGE Publications.
     Goodman, L A. (1984), “The Analysis of Cross-Classified Data having Ordered Categories”, Cambridge, Mass. : Harvard University Press.
     Goodman, L A. (1986), “Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Model Approach in the Analysis of Contingency Tables (with discussion)”, International Statistical Review, 54, 243-270.
     Goodman, L A. (1991), “Measures, Models, and Graphical Displays in the Analysis of Cross-Classified Data (with discuss)”, Journal of American Statistical Association, 86, 1058-1138.
     Greenacre J. M. (1984), “Theory and Applications of Correspondence Analysis”, Academic Press, Inc..
     van der Heijden, P.G.M., and de Leeuw, J (1985), “Correspondence Analysis Used Complementary to Loglinear Analysis”, Psychometrika, 50, 429-447.
     van der Heijden, P.G.M., de Falguerolles, A., and de Leeuw, J (1989), “A Combined Approach to Contingency Table Analysis using Correspondence Analysis and Log-linear Analysis (with discussion)”, Applied Statistics, 38, 249-292.
描述 碩士
國立政治大學
統計學系
87354010
資料來源 http://thesis.lib.nccu.edu.tw/record/#A2002001345
資料類型 thesis
dc.contributor.advisor 江振東zh_TW
dc.contributor.author (Authors) 高佩瑄zh_TW
dc.contributor.author (Authors) Kao, Pei-Hsuanen_US
dc.creator (作者) 高佩瑄zh_TW
dc.creator (作者) Kao, Pei-Hsuanen_US
dc.date (日期) 2001en_US
dc.date.accessioned 15-Apr-2016 16:09:57 (UTC+8)-
dc.date.available 15-Apr-2016 16:09:57 (UTC+8)-
dc.date.issued (上傳時間) 15-Apr-2016 16:09:57 (UTC+8)-
dc.identifier (Other Identifiers) A2002001345en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/85133-
dc.description (描述) 碩士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 (描述) 87354010zh_TW
dc.description.abstract (摘要) 本文是就有序變數的模型在 個不同“維度”的架構下做探討，主要可以區分成兩部份。zh_TW
dc.description.abstract (摘要) We examine statistical models for ordinal variables that allow for more then one“ dimension ”of association in this study. The focus are on the following two types of models: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
     第一章 緒論
     第一節 研究動機和目的
     第二節 研究目標
     第二章 兩變數模型的介紹
     第一節 兩變數模型的基本架構
     2.1.1　ＲＣ關聯性模型
     2.1.2　Ｕ0關聯性模型和ＲＣ0關聯性模型
     2.1.3　ＲＣ相關性模型
     2.1.4　Ｕ0相關性模型和ＲＣ0相關性模型
     第二節 兩變數模型的衍生架構
     2.2.1　ＲＣ（Ｍ）關聯性模型
     2.2.2　一致（Ｕ(Ｍ)）關聯性模型
     2.2.3　Ｕ0（Ｍ）關聯性模型和ＲＣ0（Ｍ）關聯性模型
     2.2.4　ＲＣ（Ｍ）相關性模型
     2.2.5　一致（Ｕ(Ｍ)）相關性模型
     2.2.6　Ｕ0（Ｍ）相關性模型和ＲＣ0（Ｍ）相關性模型
     第三節 ＲＣ(Ｍ)對應分析模型
     2.3.1　對應分析
     2.3.2　ＲＣ（Ｍ）對應分析模型
     第四節 關聯性模型和相關性模型的比較
     第三章 三變數條件模型的介紹
     第一節 三變數條件關聯性模型的基本架構
     3.1.1　獨立模型
     3.1.2　條件一致模型
     3.1.3　條件列效果模型
     3.1.4　條件行效果模型
     3.1.5　條件列行效果模型
     第二節 三變數條件關聯性模型的衍生架構
     3.2.1　條件一致模型
     3.2.2　條件列行模型
     第四章 實例分析（一）
     第一節 資料來源與應用軟體
     第二節 分析過程
     第三節 分析結果
     第四節 其他權數下ＲＣ（Ｍ）關聯性模型的配適
     第五章 實例分析（二）
     第一節 資料來源與應用軟體
     第二節 分析過程
     第三節 分析結果
     第六章 結論與建議
     參考文獻
     附錄
     青少年婚前性行為和避孕觀念資料
     程式一：兩變數ＲＣ（Ｍ）關聯性模型－權數為列行邊際機率
     程式二：兩變數ＲＣ（Ｍ）關聯性模型－權數為１
     給定快樂程度下的修業年限和兄弟姊妹個數資料
     程式三：三變數ＲＣ（Ｍ）關聯性模型
     修業年限和兄弟姊妹個數資料
     程式四：兩變數ＲＣ（Ｍ）關聯性模型		zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#A2002001345en_US
dc.subject (關鍵詞) 關聯型模型zh_TW
dc.subject (關鍵詞) 相關性模型zh_TW
dc.subject (關鍵詞) 對應分析模型zh_TW
dc.subject (關鍵詞) Association modelsen_US
dc.subject (關鍵詞) Correlation modelsen_US
dc.subject (關鍵詞) Correspondence analysis modelsen_US
dc.title (題名) RC(M)模型之探討zh_TW
dc.title (題名) On RC(M) Modelsen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) Agresti, A. (1996), “An Introduction to Categorical Data Analysis”, New York: Wiley.
     Anderson J. C. (1996), “The Analysis of Three-way Contingency Table by Three-mode Association Models”, Psychometrika, 61, 465-483.
     Becker, M. P. (1990), “Maximum Likelihood Estimation of the RC(M) Association Model”, Applied Statistics, 39,152-166.
     Benzecri J.-P. (1992), “Correspondence Analysis Handbook”, Marcel Dekker, Inc..
     Clogg, C.C., Eliason, S. R. and Wahl, R. (1990), “Labor-Market Experiences and Labor-Force Outcomes”, American Journal of Sociology, 95, 1536-1576.
     Clogg, C.C. and Shihadeh S. E. (1994), “Statistical Models for Ordinal Variables”, SAGE Publications.
     Goodman, L A. (1984), “The Analysis of Cross-Classified Data having Ordered Categories”, Cambridge, Mass. : Harvard University Press.
     Goodman, L A. (1986), “Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Model Approach in the Analysis of Contingency Tables (with discussion)”, International Statistical Review, 54, 243-270.
     Goodman, L A. (1991), “Measures, Models, and Graphical Displays in the Analysis of Cross-Classified Data (with discuss)”, Journal of American Statistical Association, 86, 1058-1138.
     Greenacre J. M. (1984), “Theory and Applications of Correspondence Analysis”, Academic Press, Inc..
     van der Heijden, P.G.M., and de Leeuw, J (1985), “Correspondence Analysis Used Complementary to Loglinear Analysis”, Psychometrika, 50, 429-447.
     van der Heijden, P.G.M., de Falguerolles, A., and de Leeuw, J (1989), “A Combined Approach to Contingency Table Analysis using Correspondence Analysis and Log-linear Analysis (with discussion)”, Applied Statistics, 38, 249-292.		zh_TW