Course info
1. Point estimation: method of moments, maximum likelihood and least squares methods.
2. Properties of Estimators: Unbiased estimators. Sufficiency: joint, minimal, and complete statistics. Minimum variance unbiased estimators. Consistent and efficient estimators.
3. Cramer-Rao inequality for a single parameter.
4. Interval estimation. Mean squared error. Loss and risk functions.
5. Bayes' estimation. Mini max estimation.
6. Application of statistical software e.g MATLAB,R etc in estimating population parameters
2. Properties of Estimators: Unbiased estimators. Sufficiency: joint, minimal, and complete statistics. Minimum variance unbiased estimators. Consistent and efficient estimators.
3. Cramer-Rao inequality for a single parameter.
4. Interval estimation. Mean squared error. Loss and risk functions.
5. Bayes' estimation. Mini max estimation.
6. Application of statistical software e.g MATLAB,R etc in estimating population parameters
- Lecturer: Oketch Okungu Jacob