Lecture Notes

SES # TOPICS INSTRUCTORS
1

Introduction and overview ( PDF)

3-door problem ( PDF)

Prof. Richard C. Larson and Prof. Daniel D. Frey
2

Analyzing a probability problem ( PDF)

Probability mass functions

Prof. Richard C. Larson
3

Broken stick problem ( PDF)

Working in sample space

Prof. Richard C. Larson
4 Pedestrian crossing problem ( PDF) Prof. Richard C. Larson
5 Random incidence: A major source of selection bias ( PDF) Prof. Richard C. Larson
6 Random incidence and more ( PDF) Prof. Richard C. Larson
7 Spatial models ( PDF) Prof. Richard C. Larson
8 Markov processes and their application to queueing, part 1 ( PDF) Prof. Richard C. Larson
9 Markov processes and their application to queueing, part 2 ( PDF) Prof. Richard C. Larson
10 Queueing and transitions: Sampling from distributions, Gauss ( PDF) Prof. Richard C. Larson
11 Derived distributions to statistics ( PDF) (Courtesy of Aman Chawla. Used with permission.) Aman Chawla (guest lecturer)
12

The Queue Inference Engine and the psychology of queueing ( PDF)

Beyond the physics of queueing ( PDF)

Prof. Richard C. Larson
13 The Weibull distribution and parameter estimation ( PDF) Prof. Daniel D. Frey
14 Hypothesis testing ( PDF) Prof. Daniel D. Frey
15 Descriptive statistics and statistical graphics ( PDF - 1.1 MB) Prof. Daniel D. Frey
16 Regression ( PDF) Prof. Daniel D. Frey
17 Analysis of variance, with discussion of Bayesian and frequentist statistics ( PDF) Prof. Daniel D. Frey
18 Multiple regression ( PDF) Prof. Daniel D. Frey
19

Design of experiments, part 1 ( PDF)

Design of experiments, part 2 ( PDF)

Prof. Daniel D. Frey
20 Design of computer experiments ( PDF) Prof. Daniel D. Frey
21 Closure - Threats to validity of inference Prof. Daniel D. Frey
22 Final presentations 1  
23 Final presentations 2  

Course Info

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