Comment: A noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest: The SIR algorithm

Journal of the American Statistical Association

Volumn 82, Issue 398, 1987, Pages 543-546

  Rubin, Donald B ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84950788916     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.1987.10478461     Document Type: Note

References (7)

1. Cochran, W. G. (1977), Survey Techniques, New York: John Wiley
2. Rubin, D. B. (1976), “Inference and Missing Data,” Biometrika, 63, 581–592.
3. —— (1983), “Progress Report on Project for Multiple Imputation of 1980 Codes,” University of Chicago.
4. —— (1985), “Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician,” The Annals of Statistics, 12, 1151– 1172.
5. —— (1987) Multiple Imputation for Nonresponse in Surveys, New York: John Wiley.
6. Rubin, D. B., and Schenker, N. (1986), “Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Non- response,” Journal of the American Statistical Association, 81, 366–374.
7. Wilks, S. S. (1932), “Moments and Distributions of Estimates of Population Parameters From Fragmentary Samples,” Annals of Mathematical Statistics, 2, 163–195.