Читать книгу Sampling and Estimation from Finite Populations - Yves Tille - Страница 37
Definition 2.6
ОглавлениеThe bias of an estimator is the difference between its expectation and the parameter it estimates:
From the expectation, we can define the variance of the estimator:
and the mean squared error (MSE):
