Lectures related to Stochastic Simulations: Ergodicity and Estimators

Related lectures (32)

Explains Fisher information, Cramér-Rao inequality, and MLE properties, including invariance and asymptotics.

Explores replicates, visualization methods, central tendency measures, outliers, dispersion, averages, residuals, and unbiased estimators.