DiscreteInverseWeibull (version 1.0.2)

loglikediw: likelihood function

Description

Log-likelihood function of the discrete inverse Weibull

Usage

loglikediw(x, q, beta)

Arguments

x

a vector of sample values

q

the value of the $q$ parameter

beta

the value of the $\beta$ parameter

Value

the value of the log-likelihood function (changed in sign) of the discrete inverse Weibull distribution with parameters $q$ and $\beta$ computed on a sample x

See Also

heuristic

Examples

n<-100
q<-0.4
beta<-2
x<-rdiweibull(n, q, beta)
# loglikelihood function (changed in sign) computed on the true values
loglikediw(x, q, beta)
par<-estdiweibull(x, method="H")
par
# loglikelihood function (changed in sign) computed on the ML estimates
loglikediw(x, par[1], par[2])
# it should be smaller than before...