Abstract
We propose a feasible general method for finding a minimax estimator of an unknown distribution function F in the nonparametric problem. As an application, some minimax estimators are proposed. Furthermore, some minimax binomial parametric problems are studied.
| Original language | English |
|---|---|
| Pages (from-to) | 281-290 |
| Number of pages | 10 |
| Journal | Canadian Journal of Statistics |
| Volume | 20 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 1992 |
Keywords
- Minimaxity, equalizer rule
- binomial distribution
- methodology
- nonparametric problem
- parametric problem
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