Across
- 4. E(Tn)= γ(Ɵ)
- 5. of the test Size of the test
- 9. Existence of sufficient estimator
- 10. Variance is the least.
Down
- 1. joint density function
- 2. Conditional distribution given T is independent of Ɵ
- 3. E(Tn)→ γ(Ɵ), n→∞ and var (Tn) →0 n→∞
- 6. Lowerbound for variance of unbiased estimator.
- 7. MVU estimator from any unbiased estimator through sufficient statistic.
- 8. Most efficient estimator