Sentence examples for models or hypotheses from inspiring English sources

An experimental or empirical study is an empirical scientific method in which an experiment arbitrates between competing models or hypotheses.

Fisherian p-values compare the model to the data, and therefore differ from Neyman-Pearson tests which compare two models or hypotheses [9].

Here, we tested two dynamic causal models (DCMs) [ 5, 36] that map onto two candidate models or hypotheses: the dual-route model and the cortical model.

For many important problems several different models or hypotheses exist and choosing which one best describes reality or observed data is not straightforward.

We would also suggest open sharing not only of small molecules or data sets from relevant assays, but also of a range of predictive (and sharable) models or hypotheses that can be used for virtual screening.

In other words, GC is a generic inferential procedure characterising directed functional connectivity, while DCM is a framework that enforces (or enables) specific models or hypotheses to be tested.

Relative likelihood ratios [6, 18], which represent the strength of quantified evidence in favor of one model (or hypothesis) with respect to another, can always be calculated on the basis of traditional [6] and geometric AICs [7].

One might then proceed to a more mechanistic (model or hypothesis — driven) characterisation using DCM.

Established traditional statistical testing methods typically consist of an F-test or Akaike Information Criterion combined with a maximum likelihood optimisation approach which makes point estimates with the goal of finding the best fit to the data given the model or hypothesis.

The method learns the optimal correction strategy without the use of models or other hypotheses on the behavior of the physical chemical sensors.

Choosing amongst alternative models or scientific hypotheses is a fundamental problem faced by researchers in any scientific discipline.