Description
Probability & Statistics II
As the second part in a two-semester sequence, this course thoroughly explores the central limit theorem and its variants and uses, estimation, hypothesis testing, sufficiency, efficiency, uniformly most powerful methods, information, and asymptotic methods. Time permitting, Bayesian topics may also be explored and discussed.
Details
Grading Basis
Graded
Units
3
Component
Lecture - Required
Offering
Course
MATH 405
Academic Group
College of Arts and Sciences
Academic Organization
Mathematical Sciences
Enrollment Requirements
Restricted to Graduate School students.