Compounding (version 1.0.2)

pgfIneymantypec: Function pgfIneymantypec

Description

This function calculates value of the pgf of the Neyman type C distribution.

Usage

pgfIneymantypec(s, params)

Arguments

s

Value of the parameter of the pgf. It should be from interval [-1,1]. In the opposite pgf diverges.

params

List of the parameters of the Neyman type C distribution, such that params<-c(theta,lambda), where both parameters are positive numbers

References

Johnson N, Kotz S, Kemp A (1992) Univariate Discrete Distributions, John Wiley and Sons, New York

Hankin R.K.S, Lee A (2006) A new family of non-negative distributions. Australia and New Zealand Journal of Statistics 48(1): 67(78)

http://www.am.qub.ac.uk/users/g.gribakin/sor/Chap3.pdf

Examples

params<-c(4,5)
pgfIneymantypec(.9,params)

## The function is currently defined as

pgfIneymantypec <- function(s,params) {
    xval<-length(s)
    for (i in 1:length(s)) {
        func<-function(x) pgfneymantypec(x,params)-s[i]
        xval[i]<-uniroot(func,lower=0,upper=1)$root
    }
    xval
}