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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/85133


    Title: RC(M)模型之探討
    On RC(M) Models
    Authors: 高佩瑄
    Kao, Pei-Hsuan
    Contributors: 江振東
    高佩瑄
    Kao, Pei-Hsuan
    Keywords: 關聯型模型
    相關性模型
    對應分析模型
    Association models
    Correlation models
    Correspondence analysis models
    Date: 2001
    Issue Date: 2016-04-15 16:09:57 (UTC+8)
    Abstract: 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:
    Reference: Agresti, A. (1996), “An Introduction to Categorical Data Analysis”, New York: Wiley.
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    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..
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    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.
    Description: 碩士
    國立政治大學
    統計學系
    87354010
    Source URI: http://thesis.lib.nccu.edu.tw/record/#A2002001345
    Data Type: thesis
    Appears in Collections:[Department of Statistics] Theses

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