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LARGE SAMPLE THEORY OF STATISTICAL INFERENCE

STAT 732
Course Description

Stochastic modes of convergence. Asymptotic theory of normed sums of random variables with applications to asymptotic normality of estimators. Methods for deriving limit distributions of nonlinear statistics. Asymptotic relative efficiencies. Asymptotic confidence regions and tests of hypotheses. Models of non-identically distributed or dependent random variables.

Prerequisties
Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.58

-3.12% from Historical

Completion Rate
100%

No change from Historical

A Rate
52%

-28.93% from Historical

Class Size
25

21.95% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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