Abstract
We present a simple solution to a problem posed recently by Andersson and Perlman. This solution allows us to find the conditional independence assumptions necessary to permit maximum likelihood estimation of the parameters of a multivariate normal distribution, when certain observations are missing.
| Original language | English |
|---|---|
| Pages (from-to) | 381-382 |
| Number of pages | 2 |
| Journal | Statistics and Probability Letters |
| Volume | 18 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2 Dec 1993 |
Keywords
- join-irreducible
- lattice
- missing data
- Multivariate normal
- parameter estimation