Sentence examples for measures of inconsistency from inspiring English sources

We address these difficulties by providing algebraic measures of inconsistency in first-order knowledgebases.

As future work, we will investigate some ways of choosing the most representative contexts, as approaches involving measures of inconsistency or information, since the method presented in this paper concerns only about minimal or maximal contexts.

We assessed statistical heterogeneity in results by inspection of a graphical display of the estimated treatment effects from included studies along with their 95% confidence intervals, and by formal statistical tests of homogeneity (Chi) and measures of inconsistency (I) and heterogeneity.

This is the assumption that studies informing the comparison of treatment A against treatment B and of treatment A against treatment C can be used to inform the comparison of B against C. Our evidence network was sparse and contained only one loop, making it impractical to test for consistency of direct and indirect evidence using node-splitting [ 58] or other measures of inconsistency [ 59, 60].

Its editor in chief, Aaron Schatz, has them with the fourth-highest DVOA variance, a measure of inconsistency, since 1991.

I-divergence is a measure of inconsistency between two functions, a y) and b y) [13], which is given as I abackslash backslash b) = sumnolimits_{y in y} {a y)ln left[ {frac{a y)}{b y)}} right] - left[ {sumnolimits_{y in y} {[a y) - b y)]} } right]}, (10 where Y is a finite dimensional space.

The I2 measure of inconsistency between studies/age contrasts in a meta-analysis is also provided; it ranges from 0 to 100% and quantifies the percentage of total variation across the studies attributed to heterogeneity rather than chance [44].

We also calculated the I statistic, a quantitative measure of inconsistency across studies (25).

23 This provides a measure of inconsistency between the different sources.

We assessed heterogeneity of trial results by calculating a chi-square test of heterogeneity and the I2 measure of inconsistency.

The I-square (I) statistic, a quantitative measure of inconsistency across studies, was used to assess heterogeneity.