The application examples in this section provide worked examples on several topics and supplement the lecture notes.
EXAMPLES | TITLES | TOPICS |
---|---|---|
1 | Reliability of systems with various element configurations (PDF) | Probability of combinations of events; binomial and Poisson distributions |
2 | Evaluation of natural and man-made risks (PDF) | Total probability theorem |
3 | Extra-terrestrial life and the design of experiments (PDF) | Bayes’ theorem |
4 | Earthquake prediction from imperfect premonitory signs (PDF) | Bayes’ theorem (cont.) |
5 | Is the series of rainy/non-rainy days a Bernoulli trial sequence? (PDF) | Bernoulli trial sequence and dependence in binary time series |
6 | Are the sequences of bus and earthquake arrivals Poisson? (PDF) | Exponential and Poisson distributions |
7 | Distribution mixtures (PDF) | Distribution mixtures |
8 | Old better than new, new better than old… (PDF) | Hazard function |
9 | Relation between storm duration and precipitation intensity (PDF) | Joint, marginal and conditional distributions |
10 | Reliability of a building under extreme wind loads: choosing the design wind speed (PDF) | Independent random variables |
11 | Distribution of the maximum of independent identically-distributed variables (PDF) | Functions of several random variables |
12 | Distribution of waves and wave loads in a random sea (PDF) | Functions of random variables and reliability analysis |
13 | Design load factors for structural columns (PDF) | Propagation of uncertainty through linear formulas: second-moment analysis |
14 | Probabilistic analysis of foundation settlement (PDF) | FOSM analysis for functions of many variables |
15 | Uncertainty updating using noisy observations (PDF) | Conditional second-moment analysis |
16 | Prediction of daily temperatures using several past observations (PDF) | Conditional second moment analysis with vectors |
17 | Sums of iid random variables (PDF) | Sums of iid random variables |
18 | Designing the checkout system of a supermarket (PDF) | Stochastic system; Monte Carlo simulation |
19 | Comparison of estimators for the upper limit of the uniform distribution (PDF) | Parameter estimation |