Negative Log Likelihood value of Kumaraswamy Binomial Distribution
Source:R/Kumaraswamy.R
NegLLKumBin.Rd
This function will calculate the Negative Log Likelihood value when the vector of binomial random variables and vector of corresponding frequencies are given with the shape parameters a and b and iterations it.
Arguments
- x
vector of binomial random variables.
- freq
vector of frequencies.
- a
single value for shape parameter alpha representing as a.
- b
single value for shape parameter beta representing as b.
- it
number of iterations to converge as a proper probability function replacing infinity.
Details
$$0 < a,b $$ $$x = 0,1,2,...$$ $$freq \ge 0 $$ $$it > 0$$
NOTE : If input parameters are not in given domain conditions necessary error messages will be provided to go further.
References
Xiaohu L, Yanyan H, Xueyan Z (2011). “The Kumaraswamy binomial distribution.” Chinese Journal of Applied Probability and Statistics, 27(5), 511--521.
Examples
No.D.D <- 0:7 #assigning the random variables
Obs.fre.1 <- c(47,54,43,40,40,41,39,95) #assigning the corresponding frequencies
if (FALSE) {
NegLLKumBin(No.D.D,Obs.fre.1,1.3,4.4) #acquiring the negative log likelihood value
}