ST502 - Fundamentals of Statistical Inference II
- Prerequisites: ST501
- Term & Frequency: Fall and Spring
- Student Audience: Masters students in Statistics and graduate students from other disciplines, such as Financial Mathematics, Economics, and Bioinformatics, that require advanced knowledge in Probability and Statistics.
- Credit: 3 credits
- Recent Texts: Mathematical Statistics and Data Analysis - John A. Rice
- Recent Instructors: Subhashsis Ghosal
- Background and Goals: ST 502 is designed to provide the basic tools of statistical inference to graduate students. It should prepare the students to understand the foundations behind statistical inference, and enable them to formulate appropriate statistical procedures. It should further hone their problem solving skills, as well as prepare them to handle more advanced courses.
- Content: Second of a two-semester sequence in probability and statistics taught at a calculus-based level. Statistical inference: methods of construction and evaluation of estimators, hypothesis tests, and interval estimators, including maximum likelihood.
- Alternatives: ST 702. Credit not given for both ST702 and ST502.
- Subsequent Courses:
S1 2017 Sections:
|-||/ - |