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| CSI 672 - Statistical Inference |
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Fundamental principles of estimation and hypothesis testing. Topics include limiting distributions and stochastic convergence, sufficient statistics, exponential families, statistical decision theory and optimality for point estimation, Bayesian methods, maximum likelihood, asymptotic results, interval estimation, optimal tests of statistical hypotheses, and likelihood ratio tests.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Non-Degree, Undergraduate, Washington Consortium Schedule Types: Lecture Computational & Data Sciences Department Course Attributes: Graduate - First Restrictions: Must be enrolled in one of the following Levels: Non-Degree Undergraduate Graduate May not be enrolled in one of the following Degrees: Non-Degree Undergraduate Must be enrolled in one of the following Classifications: Senior Plus Non-Degree Advanced to Candidacy Graduate Prerequisites: Graduate level STAT 544 Minimum Grade of B- |
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