MATH 37600
Mathematical Statistics · 4 credits · Spring 2027
Requirements
PREREQ: MATH 37500 (MIN C) and MATH 34600 (MIN C)
About this course
The gamma, chi-square, T, F, and bivariate normal distributions; Central Limit Theorem; confidence intervals and tests of hypothesis; the Neymen-Pearson Theorem; likelihood ratio test; estimation; sufficiency, unbiasedness, completeness; the Rao-Blackwell Theorem; the Rao-Cramer inequality; the method of maximum likelihood; the chi-square test; introduction to the analysis of variance and regression.
Seat status as of Oct 2, 7:43 PM ET. Seats can change between refreshes.
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