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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.8
- 수록면
- 971 - 984 (14page)
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초록· 키워드
오류제보하기
Imputation procedures fill-in missing values, thereby enabling complete data analyses. Fully efficient fractional imputation (FEFI) and multiple imputation (MI) create multiple versions of the missing observations, thereby reflecting uncertainty about their true values. Methods have been described for hypothesis testing with multiple imputation. Fractional imputation assigns weights to the observed data to compensate for missing values. The focus of this article is the development of tests of independence using FEFI for partially classified two-way contingency tables. Wald and deviance tests of independence under FEFI are proposed. Simulations are used to compare type I error rates and Power. The partially observed marginal information is useful for estimating the joint distribution of cell probabilities, but it is not useful for testing association. FEFI compares favorably to other methods in simulations.
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참고문헌 (35)
참고문헌 신청
[단행본] - Box, G. E. P. / 1992 / Bayesian inference in statistical analysis (Wiley Classics Library Edition) / John Wiley & Sons
[학술지(정기간행물)] - Chen, T. T. / 1974 / Two-dimensional contingency tables with both completely and partially cross-classified data / Biometrics 30 : 629 ~ 642
[학술지(정기간행물)] - Dempster, A. P. / 1977 / Maximum likelihood from incomplete data via the EM algorithm(with discussion) / Journal of the Royal Statistical Society B 39 : 1 ~ 38
[학술지(정기간행물)] - Fay, R. E. / 1996 / Alternative paradigms for the analysis of imputed survey data / Journal of the American Statistical Association 91 : 490 ~ 498
[학술지(정기간행물)] - Friendly, M. / 2000 / Note on \Obtaining the maximum likelihood estimates in incomplete R C contingency tables using a Poisson generalized model / Journal of Computational and Graphical Statistics 9 : 158 ~ 166
[학술지(정기간행물)] - Chen, T. T. / 1974 / Two-dimensional contingency tables with both completely and partially cross-classified data / Biometrics 30 : 629 ~ 642
[학술지(정기간행물)] - Dempster, A. P. / 1977 / Maximum likelihood from incomplete data via the EM algorithm(with discussion) / Journal of the Royal Statistical Society B 39 : 1 ~ 38
[학술지(정기간행물)] - Fay, R. E. / 1996 / Alternative paradigms for the analysis of imputed survey data / Journal of the American Statistical Association 91 : 490 ~ 498
[학술지(정기간행물)] - Friendly, M. / 2000 / Note on \Obtaining the maximum likelihood estimates in incomplete R C contingency tables using a Poisson generalized model / Journal of Computational and Graphical Statistics 9 : 158 ~ 166
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UCI(KEPA) : I410-ECN-0101-2018-041-001376830