MAT 5182 Modern Applied and Computational Statistics
3 units
Mathematics
Faculty of Science
Resampling and computer intensive methods: bootstrap, jackknife with applications to bias estimation, variance estimation, confidence intervals, and regression analysis. Smoothing methods in curve estimation; statistical classification and pattern recognition: error counting methods, optimal classifiers, bootstrap estimates of the bias of the misclassification error. This course is equivalent to STAT 5702 at Carleton University.
Components:
Lecture
Previously Offered Terms:
Fall
Winter
All Professors
A Average (8.923)
Most Common: A+ (73%)
52 students
F
D
C
B
A-
A+
Unknown Professor
Winter 2022 - A00
A Average (9.206)
Most Common: A+ (85%)
34 students
F
D
C
B
A-
A+