Estimation with incomplete data: An improved computational method and the analysis of nested data
- 1 January 1979
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 8 (12) , 1155-1181
- https://doi.org/10.1080/03610927908827821
Abstract
Maximum likelihood estimation with incomplete normal nrocedure and (ii.)allows tor a Simple MLI.I v=n,ce nf noofori TiVplilinndv Closed form solutions are described for the general nested case.Exact, ssample, moments are given for the two group case Some. computational comparisions are made with the earlier ESTMAT algorithm.Keywords
This publication has 13 references indexed in Scilit:
- Inference and missing dataBiometrika, 1976
- Testing for Equality of Means with Incomplete Data on One Variable: A Monte Carlo StudyJournal of the American Statistical Association, 1975
- A test for equality of means of correlated variates with missing data on one responseBiometrika, 1973
- A test for equality of means in the presence of correlation and missing valuesBiometrika, 1973
- Expectations and Variances of Maximum Likelihood Estimates of the Multivariate Normal Distribution Parameters with Missing DataJournal of the American Statistical Association, 1971
- FACTOR ANALYSIS WITH MISSING DATA*Annals of the New York Academy of Sciences, 1966
- Maximum Likelihood Estimation with Incomplete Multivariate DataThe Annals of Mathematical Statistics, 1964
- A Method of Estimation of Missing Values in Multivariate Data Suitable for Use with an Electronic ComputerJournal of the Royal Statistical Society Series B: Statistical Methodology, 1960
- Estimation of Parameters from Incomplete Multivariate SamplesJournal of the American Statistical Association, 1957
- Moments and Distributions of Estimates of Population Parameters from Fragmentary SamplesThe Annals of Mathematical Statistics, 1932