Sentence examples for using the entropy statistic from inspiring English sources

(http://linkage.rockefeller.edu/soft/cripmap/4). Non-parametric linkage mapping was performed using SimWalk2 v2.91 (http://www.genetics.ucla.edu/software/) using the ENTROPY statistic.

CUB was estimated using the entropy statistic as previously described.

Following alignment with CLUSTAL, column entropy [72] was calculated using the entropy web server http://www.hiv.lanl.gov/content/sequence/entropy /entropy_one.html.html

In information theory, the entropy statistic is a standard scoring method that quantifies the information encoded in a given random variable, where higher entropy implies a more informative distribution.

It is tempting to think that this effect is simply due to the increase in entropy at each position; this is demonstrably untrue as the effect is still visible when using the covariation statistic Zp, which does not correlate with entropy [17].

Statistical heterogeneity was assessed using the I2 statistic [15].

Also, we suggest a fractional functional entropy formula by using the Tsallis entropy.

Heterogeneity between studies was estimated using the I2 statistic.

Intra-examiner agreement was assessed using the kappa statistic.

Inter-observer agreement was measured using the kappa statistic.

Heterogeneity between studies was tested using the Q statistic.