STATISTICS

MATH342D.001

An introduction to the concepts, theory, and application of statistical inference, including the structure of statistical problems, probability modeling, data analysis and statistical computing, and linear regression. Inference from the viewpoint of Bayesian statistics, with some discussion of sampling theory methods and comparative inference. Applications to problems in various fields. Instructor: Staff

Prerequisite: 
Prerequisite: (Mathematics 202D, 212, or 222) and (Statistical Science 230, Statistical Science 240L, or Mathematics 340).
Instructor
Xu, Jason
Time/Location
WF 10:05am-11:20am
Physics 130