Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Statistics and Probability
Reference26 articles.
1. Anderson, T., Olkin, I.: Maximum likelihood estimation of the parameters of a multivariate normal distribution. Linear Algebra Appl. 70, 147–171 (1985)
2. Anderson, T.W.: Maximum likelihood estimates for multivariate normal distribution when some observations are missing. J. Am. Stat. Assoc. 52, 200–203 (1957)
3. Chang, W.Y., Richards, S.P.: Finite-sample inference with monotone incomplete multivariate normal data, I. J. Multivar. Anal. 100, 1883–1899 (2009)
4. Chang, W.Y., Richards, S.P.: Finite-sample inference with monotone incomplete multivariate normal data, II. J. Multivar. Anal. 101, 603–620 (2010)
5. Dempster, A., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B 39, 1–38 (1977)