Bollinger, C. R. and Barry, T.H.: is earning non-response ignorable? ... Little R.J.A. and Rubin, D.B.(2002): Statistical analysis with missing data. Second edition.
PROCEEDING OF THE STATISTICS RESEARCH GROUP (SRG) NATIONAL CONFERENCE MATHEMATICS DEPARTMENT, UNIVERSITY OF BENIN, NIGERIA. (2014). PP 70-76.
A New Imputation Method based on Expectation Maximization of the Dataset
Ogbeide, E.M., Osemwenkhae, J. E
Abstract We presents in this research work, the modified Expectation Maximization (EM) approach to multivariate data set with missing observations. The error estimates assessed by comparing it to some other imputation approaches shows some improvement. This approach looks for missing data, in an attempt to fit better density for available data set for statistical inference. This approach belongs to the iterative method of resolving missing observation in survey non response. Particularly, when the missing data can never be recover due to certain conditions.
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