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 already have the statistics for the future: the growth percentages of pollution, overpopulation, desertification. The future is already in place.”
—Günther Grass (b. 1927)
“July 4. Statistics show that we lose more fools on this day than in all the other days of the year put together. This proves, by the number left in stock, that one Fourth of July per year is now inadequate, the country has grown so.”
—Mark Twain [Samuel Langhorne Clemens] (1835–1910)
“Maybe a nation that consumes as much booze and dope as we do and has our kind of divorce statistics should pipe down about “character issues.” Either that or just go ahead and determine the presidency with three-legged races and pie-eating contests. It would make better TV.”
—P.J. (Patrick Jake)