INTRODUCTION TO STATISTICAL INFERENCE

STAT 610

Course Description

Conditioning, distribution theory, approximation to distributions, modes of convergence, limit theorems, statistical models, parameter estimation, comparision of estimators, confidence sets, theory of hypothesis tests, introduction to Bayesian inference and nonparametric estimation.

Prerequisties

Graduate/professional standing or declared in Statistics VISP

Satisfies

STAT 732 , STAT 809 , STAT 841 , STAT 780 , STAT 834 , BMI/STAT 727 , BMI/STAT 643 , STAT 760 , and ECON/GENBUS/STAT 775

Credits

Offered

Spring

Grade Point Average

3.52

-1.43% from Historical

Completion Rate

100%

0.33% from Historical

A Rate

34.48%

-18.09% from Historical

Class Size

-27.81% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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