Parameter Estimation

The other half of statistics is the business of inferring an unknown population from a finite set of observations. This chapter begins with what a point estimate is and what makes an estimator good — unbiasedness, efficiency, and consistency — then works through two concrete procedures, the method of moments and maximum likelihood, and finishes by upgrading “give a number” into “give a range, and say how confident we are” through interval estimation.