Compare estimator properties

Unbiasedness means E(estimator)=parameter. Consistency means convergence in probability to the parameter as n grows. Among unbiased estimators of the same parameter, lower variance gives greater efficiency in that comparison. Sufficiency means the statistic retains all information in the sample about the parameter under the specified model. No single observed estimate demonstrates unbiasedness; the property concerns repeated-sample behaviour.