likelihood function

Description

Log-likelihood function of the discrete inverse Weibull

Usage

1

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

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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...