Statistics
- Akaike information criterion (AIC), a measure of the goodness fit of an estimated statistical model
- Bayesian information criterion (BIC), also known as the Schwarz information criterion, a statistical criterion for model selection
- Deviance information criterion (DIC), another Bayesian oriented model selection criterion
- Focused information criterion (FIC), a selection criterion sorting statistical models by their effectiveness for a given focus parameter
- Hannan-Quinn information criterion, an alternative to the Akaike and Bayesian criteria
Read more about this topic: Information Criterion
Famous quotes containing the word statistics:
“We ask for no statistics of the killed,
For nothing political impinges on
This single casualty, or all those gone,
Missing or healing, sinking or dispersed,
Hundreds of thousands counted, millions lost.”
—Karl Shapiro (b. 1913)
“He uses statistics as a drunken man uses lamp-posts—for support rather than illumination.”
—Andrew Lang (1844–1912)
“and Olaf, too
preponderatingly because
unless statistics lie he was
more brave than me: more blond than you.”
—E.E. (Edward Estlin)