loglikediw: likelihood function

In DiscreteInverseWeibull: Discrete Inverse Weibull Distribution

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 β parameter

Value

the value of the log-likelihood function (changed in sign) of the discrete inverse Weibull distribution with parameters q and β 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...

DiscreteInverseWeibull documentation built on May 2, 2019, 4:20 a.m.