ST521 - Statistical Theory I
- Prerequisites: MA511 and MA425
- Term & Frequency: Fall
- Student Audience: PhD students in Statistics and related fields
- Credit: 3 credits
- Recent Texts: Statistical Inference, second edition by George Casella and Roger L. Berger
- Recent Instructors: Huixia Judy Wang, Brian Reich, Yichao Wu, Armin Schwartzman
- Background and Goals: A primary objective of the ST521 course is to present techniques and basic results of probability and convergence theory at a rigorous and advanced calculus level.
- Content: Content: In ST521 we develop the probabilistic tools and language of mathematical statistics. The course describes basic probability theory, probabilistic models for and properties of random variables, common probability distributions for univariate and multivariate random variables, and sampling distributions and convergence theory.
- Alternatives: None
- Subsequent Courses: ST522, ST793
SP 2017 Sections:
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