Sentence examples for trivial hypothesis from inspiring English sources

The first case represents a classical generalization of the studied system, as we introduce the trivial hypothesis that all agents interact with all the others, at each time step.

A possibility that needs to be considered in all regression analyses is whether the cause-effect relationship could be reversed: could some states be more productive precisely because their researchers tend to do many cheap and non-explorative studies (i.e. many simple experiments that test relatively trivial hypotheses)?

This is unlikely to be explained by these sciences having stronger theories than the physical sciences (as discussed in the introduction, these latter have, if anything, a more developed and cumulative "core"), or by these sciences testing more trivial hypotheses (originality and innovativeness are rewarded in all fields of research).

The ocsESTdb database will supply a model to derive new non-trivial hypotheses for exploring plant metabolism.

The use of AlgaGEM for in silico flux predictions illustrates the potential of using genome scale models to explore complex, compartmentalized networks and develop non-trivial hypotheses.

AlgaGEM is a viable and comprehensive framework for in silico functional analysis and can be used to derive new, non-trivial hypotheses for exploring this metabolically versatile organism.

In the empirical example, parametric regressors were shown to be suited for testing non-trivial empirical hypotheses about fMRI signal.

However, 2 of the 3 referees strongly feel that the modelling studies neither makes non-trivial predictions nor tests hypothesis generated (for the modeling to be useful).

The new analyses and thorough re-work of our model have strengthened our belief that the current work now makes non-trivial predictions, and hypotheses generated have been tested for the modeling to be useful.

"Even in the simplest hypothesis it's not trivial".

Despite the deceiving simplicity of this hypothesis, its assessment is not trivial and depends on whether the covariances of the models, generally unknown, are homogeneous or not.