Abstract
We study the problem of ignorability in likelihood-based inference from incomplete categorical data. Two versions of the coarsened at random assumption (car) are distinguished, their compatibility with the parameter distinctness assumption is investigated and several conditions for ignorability that do not require an extra parameter distinctness assumption are established.
| Original language | English |
|---|---|
| Journal | Annals of Statistics |
| Volume | 33 |
| Issue number | 4 |
| Pages (from-to) | 1964-1981 |
| Number of pages | 17 |
| ISSN | 0090-5364 |
| DOIs | |
| Publication status | Published - Aug 2005 |