Maximum likelihood estimation for multivariate normal distribution with monotone sample

Abstract

Closed forms are obtained for the maximum likelihood estimators of the mean vector and the covariance matrix of a multivariate normal model with a k-step monotone missing data pattern. Matrix derivatives are used in the derivation. Our results extend those of Anderson and Olkin (1985) for the 2-step missing data pattern.