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LARGE SAMPLE THEORY OF STATISTICAL INFERENCE

STAT 732
课程描述

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.

先修课程
满足要求

This course does not satisfy any prerequisites.

学分

未报告

开课时间

未报告

平均绩点
3.58

-3.12% 相比历史数据

完成率
100%

与历史数据相比无变化

A率
52%

-28.93% 相比历史数据

班级规模
25

21.95% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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