Subject:
Statistics
Credit units:
3
Offered:
Term 1 only
Weekly hours: 3 Lecture hours and 1 Seminar/Discussion hours
College:
Graduate and Postdoc Studies
Department: Mathematics and Statistics
Description
An overview of mathematical methods used in theoretical statistics with particular emphasis on inference. Will cover general probability distributions, generating functions, limit theorems, likelihood concepts, exponential families, decision theory, Bayesian and frequentist paradigms for estimation and testing, asymptotic theory.
Prerequisite(s): Undergraduate courses in mathematical statistics and inference, such as STAT 342 and STAT 442.
Upcoming class offerings
For full details about upcoming courses, refer to the class search tool or, if you are a current student, the registration channel in PAWS.
Syllabi
The syllabus is a public document that provides detail about a class, such as the schedule of activities, learning outcomes, and weighting of assignments and examinations.
Once an instructor has made their syllabus publicly available on USask’s Learning Management System, it will appear below. Please note that the examples provided below do not represent a complete set of current or previous syllabus material. Rather, they are presented solely for the purpose of indicating what may be required for a given class. Unless otherwise specifically stated on the content, the copyright for all materials in each course belongs to the instructor whose name is associated with that course. The syllabus is the intellectual property of instructors or the university.
For more information, visit the Academic Courses Policy , the Syllabus page for instructors , or for students your Academic Advising office.
Loading...