GUI for Bayesian sample size planning in type A uncertainty evaluation | Zendy

Jörg Martin | Zendy; Clemens Elster | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

GUI for Bayesian sample size planning in type A uncertainty evaluation

Author(s) -

Jörg Martin,

Clemens Elster

Publication year - 2021

Publication title -

measurement science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.48

H-Index - 136

eISSN - 1361-6501

pISSN - 0957-0233

DOI - 10.1088/1361-6501/abe2bd

Subject(s) - computer science , bayesian probability , graphical model , sample size determination , sample (material) , graphical user interface , poisson distribution , bayesian inference , variance (accounting) , data mining , inference , bayesian experimental design , bayesian statistics , statistics , artificial intelligence , mathematics , chemistry , accounting , chromatography , business , programming language

We present a graphical user interface (GUI) for planning the sample size needed to reach a specified target uncertainty in a Bayesian type A uncertainty evaluation of normal or Poisson distributed data. To this end we build on a criterion previously introduced by Martin and Elster (2020 Stat. Methods Appl. 1–21) and called the variation of the posterior variance criterion. This criterion includes, and extends, standard Bayesian sample size planning procedures. Guidance is provided for the elicitation of the required prior knowledge in a way that makes the approach easily accessible for metrologists. The GUI also includes a menu that performs the Bayesian inference after the experiment has been carried out.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research