STAT 532
FOUNDATIONS OF STATISTICAL INFERENCE I
The first semester in a two-semester sequence in mathematical statistics: random variables, distributions, small and large sample theorems of decision theory and Bayesian methods, hypothesis testing, point estimation, and confidence intervals; topics such as exponential families, univariate and multivariate linear models, and nonparametric inference will also be discussed. Required for graduate students in statistics.
Prerequisites & course information
Short Title: FOUNDATIONS OF STAT INF I Department: Statistics Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Graduate level students. Course Level: Graduate Prerequisite(s): STAT 519
Sources
- Course catalogue ↗2026–2027