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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.

Prerequisites

Graduate/professional standing or declared in Statistics VISP

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.2

-9.95% from Historical

Completion Rate
96.3%

-3.3% from Historical

A Rate
33.33%

-20.35% from Historical

Class Size
27

-31.86% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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