MAT 5375 Introduction to Mathematical Statistics
3 units
Mathematics
Faculty of Science
Limit theorems; sampling distributions; parametric estimation; concepts of sufficiency and efficiency; Neyman-Pearson paradigm, likelihood ratio tests; parametric and non-parametric methods for two-sample comparisons; notions of experimental design, categorical data analysis, the general linear model, decision theory and Bayesian inference. This course is essential for students in applied statistics. This course is equivalent to STAT 5610 at Carleton University.
Components:
Lecture
Requirements:
The courses MAT 5190 , MAT 5375 cannot be combined for credits.
Previously Offered Terms:
Fall
French Equivalent:
All Professors
A- Average (8.095)
Most Common: A+ (37%)
105 students
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A+