What does the 'Consistency' of an estimator θ^n\hat{\theta}_nθ^n mean?
The estimator is unbiased for all finite nnn.
The variance of the estimator decreases as nnn increases.
The estimator converges in probability to the true parameter value as n→∞n \to \inftyn→∞.
The estimator always achieves the Cramér-Rao lower bound.