Description

Density function, distribution function, quantile function, random generation, raw moments and limited moments for the Inverse Paralogistic distribution with parameters shape and scale.

Usage

Arguments

Details

The inverse paralogistic distribution with parameters shape = a and scale = s has density:

f(x) = a^2 (x/s)^(a^2)/(x [1 + (x/s)^a]^(a + 1))

for x > 0, a > 0 and b > 0.

The kth raw moment of the random variable X is E[X^k], -shape^2 < k < shape.

The kth limited moment at some limit d is E[min(X, d)^k], k > -shape^2 and 1 - k/shape not a negative integer.

Value

dinvparalogis gives the density, pinvparalogis gives the distribution function, qinvparalogis gives the quantile function, rinvparalogis generates random deviates, minvparalogis gives the kth raw moment, and levinvparalogis gives the kth moment of the limited loss variable.

Invalid arguments will result in return value NaN, with a warning.

Note

levinvparalogis computes computes the limited expected value using betaint.

See Kleiber and Kotz (2003) for alternative names and parametrizations.

The "distributions" package vignette provides the interrelations between the continuous size distributions in actuar and the complete formulas underlying the above functions.

Author(s)

Vincent Goulet vincent.goulet@act.ulaval.ca and Mathieu Pigeon

References

Kleiber, C. and Kotz, S. (2003), Statistical Size Distributions in Economics and Actuarial Sciences, Wiley.

Klugman, S. A., Panjer, H. H. and Willmot, G. E. (2012), Loss Models, From Data to Decisions, Fourth Edition, Wiley.

Examples