释义 |
Probability FunctionThe probability density function (also called the Probability Density Function) of a continuous distribution isdefined as the derivative of the (cumulative) Distribution Function ,
 | (1) |
so
 | (2) |
A probability density function satisfies
 | (3) |
and is constrained by the normalization condition,
 | (4) |
Special cases are
If and , then
 | (8) |
Given the Moments of a distribution ( , , and the Gamma Statistics ), the asymptotic probability function is given by where
 | (10) |
is the Normal Distribution, and
 | (11) |
for (with Cumulants and the Standard Deviation; Abramowitz and Stegun1972, p. 935).See also Continuous Distribution, Cornish-Fisher Asymptotic Expansion, Discrete Distribution,Distribution Function, Joint Distribution Function References
Abramowitz, M. and Stegun, C. A. (Eds.). ``Probability Functions.'' Ch. 26 in Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 9th printing. New York: Dover, pp. 925-964, 1972.
|