The Generalized Beta II Distribution

Density for the generalized beta II distribution with shape parameters a and p and q, and scale parameter scale.

dgenbetaII(x, scale = 1, shape1.a, shape2.p, shape3.q, log = FALSE)

Arguments

x

vector of quantiles.

shape1.a, shape2.p, shape3.q

positive shape parameters.

scale

positive scale parameter.

log

Logical. If log = TRUE then the logarithm of the density is returned.

Value

dgenbetaII gives the density.

References

Kleiber, C. and Kotz, S. (2003). Statistical Size Distributions in Economics and Actuarial Sciences, Hoboken, NJ, USA: Wiley-Interscience.

Author

T. W. Yee

Details

See genbetaII, which is the VGAM family function for estimating the parameters by maximum likelihood estimation. Several distributions, such as the Singh-Maddala, are special case of this flexible 4-parameter distribution. The product of shape1.a and shape2.p determines the behaviour of the density at the origin.

See also

genbetaII.

Examples

dgenbetaII(0, shape1.a = 1/4, shape2.p = 4, shape3.q = 3)
#> [1] 15
dgenbetaII(0, shape1.a = 1/4, shape2.p = 2, shape3.q = 3)
#> [1] Inf
dgenbetaII(0, shape1.a = 1/4, shape2.p = 8, shape3.q = 3)
#> [1] 0