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MA 612 Mathematical Statistics

Point estimation, method of moments, maximum likelihood, and properties of point estimators; confidence intervals and hypothesis testing; sufficiency; Neyman-Pearson theorem, uniformly most powerful tests, and likelihood ratio tests; and Fisher information and the Cramer-Rao inequality. Additional topics may include nonparametric statistics, decision theory, and linear models.

Credits

3

Prerequisite

MA 611

Distribution

Pure and Applied Mathematics Program

Typically Offered Periods

Spring Semester