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

29 responses

4.57

/ 5

strongly agree
66%
agree
28%
disagree
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strongly disagree
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Clear Expectations

6 responses

3.17

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strongly agree
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agree
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neither agree nor disagree
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strongly disagree
33%
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Learned a Lot

29 responses

4.29

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strongly agree
48%
agree
38%
disagree
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Recommend

23 responses

4.26

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strongly agree
43%
agree
48%
disagree
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Workload

23 responses

2.13

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

29 responses

4.32

/ 5

strongly agree
52%
agree
34%
disagree
10%
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0%
question not applicable
3%
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75%
100%