Sentence examples for the conditional itself from inspiring English sources

In this case, whether it is correct or not, at the time of utterance, to assert that it will rain, or that it will not rain, is irrelevant to the correctness of an assertoric utterance of the conditional itself.

We pause to mention DLiar as it is connected with another important paradox: Curry's paradox, which involves conditionals that say of themselves only that if they (the conditional itself) are true, so too is some absurdity (e.g., 'if this sentence is true, then 1=0' or 'if this sentence is true, everything is true' or so on).

In particular, Field is interested in producing a theory as close to classical logic as possible, which at the same time retains all T-biconditionals (the conditional itself will be nonclassical) and which at the same time can express, in some sense, the claim that such and such a sentence is defective.

Any bi-conditional proposal can be analyzed into a conjunction of two component simple conditionals, both of which must be true if the bi-conditional itself is true.

There also can be interest in the conditional outcome class itself: g k i = f(X i ).f.f

Each individual parameter was then analyzed in the conditional model by itself to determine significant association with mortality under a matched analysis and then was added into the multivariable model and left in the model if it confounded the primary association between statin exposure and mortality with a 10% or greater change in the point estimate.

These results underscore the importance of careful controls for possible life span effects on the conditional gene expression system itself, independent of the specific identity of the gene being over-expressed.

A widely accepted approach to study the effect of insulin resistance in different tissues is the conditional removal of the IR itself, which results in the complete ablation of insulin signalling.

(The conditional is a condition.

Imputed values are the conditional expectations for the missing data values, conditioned on past values of the series itself and current and past values of the other series.

The method of inverse probabilities offers itself as a way of calculating the (conditional) probability that a population has a trait in a certain proportion given that a sample drawn from that population has the trait in that proportion.