Chapter 3
Other Estimation Criteria

Unbiasedness with minimum variance and maximum likelihood are not the only ways to choose an estimator. This chapter looks at four others: restricting to linear estimators, requiring the estimator to respect a symmetry of the model, solving an unbiased estimating equation, and averaging over a prior distribution.