Scholion.ai

Ignorability, Sufficiency and Ancillarity

Daniel F. Heitjan

Journal of the Royal Statistical Society: Series B (Statistical Methodology) · 1997 · Volume 59 · Issue 2

DOI: 10.1111/1467-9868.00073

Abstract

This paper explores the relationship between ignorability, sufficiency and ancillarity in the coarse data model of Heitjan and Rubin. Bayes or likelihood ignorability has a natural relationship to sufficiency, and frequentist ignorability an analogous relationship to ancillarity. Weaker conditions, termed observed likelihood sufficiency, observed specific sufficiency and observed ancillarity, expand the concepts to models where the coarsening mechanism is sometimes, but not always, ignorable.

Keywords

coarsened at random, coarsened completely at random, nuisance parameters, observed ancillarity, observed likelihood sufficiency, observed specific sufficiency

Enable JavaScript for citation tools and additional paper interactions.