CHAID is a classification trees program developed by Kass (1980) that performs multi-level splits when computing classification trees. For discussion of the differences of CHAID from other classificat [..]

If you split the distribution in half at its mean (or median), the distribution of values on the two sides of this central point would not be the same (i.e., not symmetrical) and the distribution woul [..]

A distribution that has multiple modes (thus two or more "peaks").

A line in a two dimensional or two-variable space is defined by the equation Y=a+b*X; in full text: the Y variable can be expressed in terms of a constant (a) and a slope (b) times the X variable. The [..]

A line in a two dimensional or two-variable space is defined by the equation Y=a+b*X; in full text: the Y variable can be expressed in terms of a constant (a) and a slope (b) times the X variable. The [..]

Back propagation is the best known training algorithm for neural networks and still one of the most useful. Devised independently by Rumelhart et. al. (1986), Werbos (1974), and Parker (1985), it is t [..]

The concept of bagging (voting for classification, averaging for regression-type problems with continuous dependent variables of interest) applies to the area of predictive data mining, to combine the [..]

The concept of bagging (voting for classification, averaging for regression-type problems with continuous dependent variables of interest) applies to the area of predictive data mining, to combine the [..]

An ANOVA design is a balanced ANOVA design when all cells in the ANOVA design have equal N, when there are no missing cells in the design, and, if nesting is present, when the nesting is balanced so t [..]

An ANOVA design is a balanced ANOVA design when all cells in the ANOVA design have equal N, when there are no missing cells in the design, and, if nesting is present, when the nesting is balanced so t [..]