Welcome on the informative hypotheses website.
Informative Hypotheses are hypotheses constructed using (in)equality constraints among the parameters of interest. A simple example is three ordered means, Hi: μ1 > μ2 > μ3. Often informative hypotheses paint a more realistic picture of the state of affairs in a population expected by a researcher than the traditional null and alternative hypotheses.
This website contains pages containing
- Examples of papers containing Applications of informative hypotheses
- Tutorial Papers explaining how informative hypotheses can be used
- Information about the software package bain for Bayesian evaluation of informative hypotheses
- Information about the GORIC(A) and the goric function in the R package restriktor for evaluation of informative hypotheses using information criteria
- Information of Bayesian Evidence Synthesis