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STATS 511

Introduction to Statistical Theory

3 credits · Graduate credit

This is a graduate-level introductory course to key concepts, methods and theory in statistical inference. The topics covered will include univariate and multivariate families of distributions, likelihood principle, point estimation, confidence regions, hypothesis tests, large sample properties, and other selected topics in contemporary methods.

Prerequisites & course information

STATS 510. (Prerequisites enforced at registration.) (3). May be repeated for a maximum of 6 credits.

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