Bayes Factors and the Observational Method

Bayes Factors and the Observational Method

Baecher, G.B.
Christian, J.T.

2015-10-15

The statistics course most engineers took in college—seldom more than one—introduced them to a particular species of statistics, which, regrettably, is of limited use in geotechnical practice: frequentist sampling theory. That species of statistical thinking arose to address problems of agricultural experimentation, biology, and economics. It is mostly applicable to narrow domains in medical trials, political polls, and the like, where carefully planned experiments lead to large databases and p-value tests of hypotheses. These are not the problems facing the geotechnical engineer. He or she faces extremely limited numbers of observations (maybe only one), measurements of differing types and quality, a blend of qualitative and quantitative information, and a need to make sequential decisions as data arrive.

Bayesian
observational approach
risk screening
measurements

http://resolver.tudelft.nl/uuid:4233ab6d-5f43-48ef-8ea8-e6323332cf83

https://doi.org/10.3233/978-1-61499-580-7-939

Conference proceedings

conference paper

(c) 2015 The Authors and IOS Press, Creative Commons CC-BY