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

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

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

2025 Fall Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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