Theory focused framework for statistical inference: evaluation of point estimators (bias, variance, mean square error, relative efficiency, consistency), methods of point estimation (method of moments, maximum likelihood estimation), sufficiency (Fisher-Neyman Factorization Theorem), uniform minimum variance unbiased estimators, interval estimation (confidence intervals from normal samples and large samples), and theory underlying hypothesis testing.(Prereq: STAT 420)
This course does not fulfill any general university requirements.
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