Chapter 9 Estimation and estimators

Learning Objectives

1. Describe and apply the method of moments for constructing estimators of population parameters.
2. Describe and apply the method of maximum likelihood for constructing estimators of population parameters.
3. Define the terms: efficiency, bias, consistency and mean squared error.
4. Define and apply the property of unbiasedness of an estimator.
5. Define the mean square error of an estimator, and use it to compare estimators.
6. Describe and apply the asymptotic distribution of maximum likelihood estimators.
7. Use the bootstrap method to estimate properties of an estimator.

Theory

R Practice