
Accession Number : ADA114533
Title : On Jointly Estimating Parameters and Missing Data by Maximizing the CompleteData Likelihood.
Descriptive Note : Technical summary rept.,
Corporate Author : WISCONSIN UNIVMADISON MATHEMATICS RESEARCH CENTER
Personal Author(s) : Little,Roderick J A ; Rubin,Donald B
PDF Url : ADA114533
Report Date : Feb 1982
Pagination or Media Count : 10
Abstract : One approach to handling incomplete data occasionally encountered in the literature is to treat the missing data as parameters and to maximize the complete data likelihood over missing data and parameters. This paper points out that although this approach can be useful in particular problems, it is not a generally reliable approach to the analysis of incomplete data. In particular, it does not share the optimal properties of maximum likelihood estimation, except under the trivial asymptotics in which the proportion of missing data goes to zero as the sample size increases. (Author)
Descriptors : *Estimates, *Parameters, *Probability, *Mathematical analysis, Errors, Systems analysis, Reliability, Optimization, Asymptotic series, Data management, Plotting
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE