Abstract
Consider a random sample from a discrete distribution sup-ported on a finite set of points and depending on a vector of unknown parameters. It is shown that any estimand of these parameters having an unbounded range is nonestimable.
Original language | English |
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Pages (from-to) | 199-200 |
Number of pages | 2 |
Journal | American Statistician |
Volume | 41 |
Issue number | 3 |
DOIs | |
State | Published - Aug 1987 |
Keywords
- Estimable function
- Estimand
- Uniformly minimum-variance unbiased estimation
ASJC Scopus subject areas
- Statistics and Probability
- General Mathematics
- Statistics, Probability and Uncertainty