Sentence examples for a straightforward inference from inspiring English sources

Fuzzy logic approaches use a straightforward inference method based on predefined rules.

Given that there is a cost associated with producing indeterminate behavior [61], it is a straightforward inference that these latter rules have evolved specifically to generate varying degrees of behavioral indeterminism [23], as exemplified above in the case of the chasing house flies.

If an inner core is detected, the dynamo had a compositional power source available and the straightforward inference is to assume that the dynamo originated in the core.

It is easy to think that these stories are simply another round in the familiar game of rebutting utilitarianism by counter-examples, and hence that Williams' integrity objection boils down to the straightforward inference (1) utilitarianism tells Jim to do X and George to do Y, (2) but X and Y are wrong (perhaps because they violate integrity?), so (3) utilitarianism is false.

This standard approach results in straightforward inference for the covariate effects [ 2], but the resulting inferences are approximate and reasonably large numbers of studies are needed for this approach to provide accurate inference [ 5].

Based on our statistical analyses we made the straightforward inference that higher radial values probably indicated greater connectivity to contiguous parietal and frontal cortex in TD children than those with 22q11.2DS, and that the higher FA values in the 22q11.2DS group represented a reduction of this connectivity matrix.

Forty-six of these additions were straightforward inferences based on two alleles in the polymorphic species.

Hybrid inference is a straightforward approach in cases where auxiliary data are not available wall-to-wall and such data are expensive to acquire.

A comparatively recent development (e.g. 68, 103– 108) is the recognition that the application of the methods of Bayesian inference provides a straightforward and natural means of understanding the relative roles of old and newer evidence in the development of theory and belief.

This is a straightforward and statistically sound approach to determine the appropriate level of inference, i.e. the lowest hierarchical level where sampling saturation is reached.

If the disease is not rare in the target population but the sampling fraction for cases and control is known, a straightforward application of inverse-selection-probability-weighting COCA estimation may be used to recover the correct population inference.