作者: Michael Höhle , Erik Jørgensen
DOI: 10.1007/978-3-540-45062-7_18
关键词: Statistics 、 Influence diagram 、 Survey sampling 、 Sampling (statistics) 、 Gibbs sampling 、 Computer science 、 Decision support system 、 Robustness (computer science) 、 Sample (statistics) 、 Herd 、 Bayesian network 、 Operations research
摘要: To make qualified decisions when extrapolating results from a survey sample with imprecise tests requires careful handling of uncertainty. Both the test and uncertainty introduced by sampling have to be taken into account in order act optimally. This paper formulates an influence diagram discrete continuous nodes handle example typical for animal production: veterinarian who – as part biosecurity program has decide whether treat herd animals after inspecting small fraction them.