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    政大機構典藏 > 商學院 > 統計學系 > 學位論文 >  Item 140.119/83241
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/83241


    Title: 複雜抽樣下反應變數遺漏時之迴歸分析
    Regression Analysis with Missing Value of Responses under Complex Survey
    Authors: 許正宏
    Hsu, Cheng-Hung
    Contributors: 陳麗霞
    許正宏
    Hsu, Cheng-Hung
    Keywords: 分層抽樣
    群集抽樣
    遺漏值
    多重設算
    單調資料型態
    階層模式
    stratified sampling
    cluster sampling
    missing value
    multiple imputation
    monotone data pattern
    hierarchical model
    Date: 2000
    Issue Date: 2016-03-31 14:44:33 (UTC+8)
    Abstract: Gelman, King, 及Liu(1998)針對一連串且互相獨立的橫斷面調查提出多重設算程序,且對不同調查的參數以階層模式(hierarchical model)連結。本文為介紹複雜抽樣(分層或群集抽樣)之下,若Q個連續變數有遺漏現象時,如何結合對象之個別特性,各層或各群集的參數,以及連結各層或各群集參數的階層模式,以設算遺漏值及估計模式中之參數。
    Gelman, king, and Liu (1998) use multiple imputation for a series of cross section survey, and link the parameter of different survey by hierarchical model. This text introduces a method to impute missing value and estimate the parameters affected by hierarchical model if Q continuous variables has missing value under complex survey.
    Reference: 一、中文部分
    [1] 鄭光甫、韋端(1993),抽樣方法- 理論與實際,台北市三民出版社。
    二、英文部分
    [2] An,A.B.,(1996), Regression estimation for finite population means in the presence of nonresponse. A Dissertation Submitted to the Graduate Faculty in Partial Fullillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY.
    [3] Chapman,D.W.(1976), A Survey of nonreoponse imputation procedures." American Statistical Association Proceedings of the Social Statistical Section 1976(Part 1):245-51
    [4] Dempster,A.P.,Laird,N.M.,and Rubin,D.B.(1977), Maximum Likelihood estimation from incomplete data via the EM Algorithm (with discussion), Jornal of the Royal Statistical Society,Series B,39,1-38.
    [5] DuMouchel,W.H,and Duncha,G.J.(1983), Using sample survey weights in multiple regression analysis of stratified samples.Jornal of the American Statistical Association,78,535-543.
    [6] Gelfand, A. E. and Smith, A. F. M.(1990), Sampling-Based Approaches to Calculating Marginal Densities, Jornal of the American Statistical Association, 85, 398-409.
    [7] Geman, D. and Geman, S. (1984), Stochastic Relaxation, Gibbs Distributions, and the Bayesian Reconstruction of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721-741.
    [8] Gilks,W.R.,Richardson,S.,and Spiegelhalter,D.J.(1996), Markov Chain Monte Carlo in Practice.Chapman & Hall.
    [9] Gelman,A.,King,G.,and Liu,C.(1998), Not asked and not answered: multiple imputation for multiple surveys. Jornal of the American Statistical Association,Vol.93,846-857.
    [10] Hartley,H.O.and R.R.Hocking.(1971), The analysis of incomplete data. Biometrics ,27,783-808.
    [11] Jinn,J.H.andJ.Sedransk.(1989), Effect on secondary data analysis of common imputation methods.Sociological Methodology 19:213-41.
    [12] Kalton,Graham and Daniel Kasprzyk.(1982). Imputing for missing survey responses. Proceedings of the Survey Research Methods Section American Statistical Association
    [13] Kalton,Graham and Daniel Kasprzyk. (1986). The treatment of missing survey data." Survey Methodology 12: 1-16.
    [14] Little,R.J.A.,and Rubin,D.B.(1987), Statistical Analysis With Missing Data.New York:John Wiley & Sons.
    [15] Little,R.J.A.,and Rubin,D.B.(1989-90), The analysis of social science data with missing values. Sociological Methods and Research 18(2-3): 292-326.
    [16] Liu,Chuanhai.(1993), Bartlett`s Decomposition of the posterior distribution of the covariance for normal monotone ignorable missing data. Jornal of Multivariate Analysis 46,198-206.
    [17] Madow,W.G.,I.Olkin,and D.B.Rubin,(1983), Incomplete Data In Sample Survey,Vol.I,II,III.New York:Academic Press.
    [18] Muirhead,R.J(1982), Aspects of Multivariate Statistical Theory. New York: Wiley
    [19] Raymond,M.R. and Roberts,D.M.(1983), Development and validation of a foreign language attitude scale.Educational and Psychological Measurement,43, 1239-1246.
    [20] Roderick,J.A.Little.(1992), Regression with missing X`s :a review. Jornal of the American Statistical Association,Vol.87,NO.420,pp.1227-1237.
    [21] Robins,J.M.,Rotnitzky,A.,and Zhao,L.P.(1994), Estimation of regression coefficients when some regressors are not always observed. Jornal of the American Statistical Association,Vol.89,NO.427,pp.846-866.
    [22] Rubin,D.B.(1987), Multiple Imputation for Nonresponse in Surveys. New York: Wiley
    [23] Rubin,D.B.(1976), Inference and missing data.Biometrika,63,3,pp.581-92.
    [24] Rubin,D.B.and Schafer,J.L.(1990), Efficiently creating multiple imputations for incomplete multivariate normal data." In Proceedings of the Statistical Computing Section of the American Statistical Association.pp.83-88.
    [25] Schafer,J.L.(1997), Analysis of Incomplete Multivariate .Data.New York.
    [26] Skinner,C.J,Holt,D.,and Smith.T.M.F.(1989), Analysis of Complex Surveys. New York:Wiley.
    [27] Skinner,C.J.,and Coker,O.(1996), Regression analysis for complex survey data with missing values of a covariate.J.R.Statist.Soc.A.159,part 2,pp. 265-274.
    [28] Wu,C.F.(1985), Variance estimation for the combined ratio and combined regression estimators.Journal of the Royal StatisticalSociety,B47,147-154.
    [29] Weisberg,Sanford.(1985), Applied Linear Regression. New York:John Wiley & Sons.
    [30] Zhao,L.P.,Lipsitz,S.,and Lew,D.(1996), Regression analysis with missing covariate data using estimating equations.Biometrics 52,1165-1182.
    Description: 碩士
    國立政治大學
    統計學系
    86354010
    Source URI: http://thesis.lib.nccu.edu.tw/record/#A2002001934
    Data Type: thesis
    Appears in Collections:[統計學系] 學位論文

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