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

Organized

54 responses

4.31

/ 5

strongly agree
61%
agree
22%
disagree
7%
strongly disagree
6%
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Clear Expectations

31 responses

3.81

/ 5

strongly agree
48%
agree
19%
neither agree nor disagree
10%
disagree
10%
strongly disagree
13%
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Learned a Lot

54 responses

4.15

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strongly agree
52%
agree
30%
disagree
13%
strongly disagree
4%
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Recommend

23 responses

4.26

/ 5

strongly agree
43%
agree
48%
disagree
9%
strongly disagree
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Workload

23 responses

2.13

/ 5

very heavy
17%
heavier than average
52%
average
30%
lighter than average
0%
very light
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Fair Assessments

54 responses

4.06

/ 5

strongly agree
48%
agree
31%
disagree
13%
strongly disagree
6%
question not applicable
2%
25%
50%
75%
100%