Across
- 5. Criterion that selects the parameter value with highest likelihood.
- 8. Difference between expected estimator value and true parameter value.
- 9. Estimator property indicating minimum spread among estimates.
- 10. Estimation method that minimizes average risk using prior information.
- 11. Estimation used for predicting complete signals or time-varying data.
Down
- 1. Fundamental process of finding unknown parameters from observations.
- 2. Statistical measure representing uncertainty in an estimator.
- 3. Estimator whose expected value equals the true parameter.
- 4. A desirable estimator property where estimates approach the true value as samples increase.
- 6. Estimation approach based on maximizing posterior probability.
- 7. Prior knowledge combined with likelihood in Bayesian estimation.