Sentence examples for ordinary inference from inspiring English sources

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The meaning of "implies" is that "of ordinary inference and proof" (1912, 531) according to which a proposition implies another proposition if the second can be logically deduced from the first.

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So if a theorist demands actual "rails" to ground ordinary inferences, this theorist will have to provide some further "rails" to justify his own peculiar inference (to the best explanation) from the legitimacy of ordinary inferences to the purported "rails" that he supposes to ground them.

Both thinkers maintain that (in the ordinary case) inference plays no role in the production of such judgments feelings being such as to immediately evoke them.

Even if we allow for some hyperbole, it would betray considerable ignorance to confuse Newton's "experimental method" with ordinary human "experimental inference and reasoning".

The principle appealed to is thus: The idea emerges in the Nyāya epistemology with their claim that absence is perceived, and that this perception is a sui generis type of perceptual experience, not reducible to a combination of ordinary perception and inference (cf. the sixth type of sensory connection in Uddyotakara's list).

"Indeed," he wrote, "it is as likely to take place as are most future events that common-sense inference and ordinary knowledge of human nature tell us will happen".

Semivariograms were also estimated for regression residuals as a diagnostic check on the independence assumption inherent in ordinary least squares (OLS) inference.

"Imagine an oracle that claims mysterious powers but never delivers predictions that could not be learned by simple inferences from ordinary experience.

The limma package uses an empirical Bayes approach to create a moderated t-statistic by shrinking the estimated sample variances towards a pooled estimate thereby allowing more stable inference than an ordinary t-statistic when the sample size is small.

Our results confirmed that, in a correctly-specified model, ignoring the weights does not change the estimated parameters, and precision may improve (a result theoretically proven for inference based on ordinary least squares) [ 26, 27].

As time series were simulated using a set of first-order ordinary differential equations, the corresponding inference model is either the differential model (Eq. (2)) or the integral model (Eq. (5)) with the zero-degree polynomial kernel (L w = 0 in Eq. (8) and L b = 0 in Eq. (9)).

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