Description Usage Arguments Author(s) References Examples
This function calculates value of the pgf's inverse of the hypergeometric distribution.
1 | pgfIhypergeometric(s, params)
|
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 hypergeometric distribution, such that params<-c(m,n,p), where m is the number of white balls in the urn, n is the number of black balls in the urn, must be less or equal than m, and p is probability. |
S. Nadarajah, B. V. Popovic, M. M. Ristic
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
1 2 3 4 5 6 7 8 9 10 11 12 13 | params<-c(5,3,.2)
pgfIhypergeometric(.5,params)
## The function is currently defined as
pgfIhypergeometric <- function(s,params) {
xval<-length(s)
for (i in 1:length(s)) {
func<-function(x) pgfhypergeometric(x,params)-s[i]
xval[i]<-uniroot(func,lower=0,upper=1)$root
}
xval
}
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.