varFisher {DiscreteWeibull}  R Documentation 
Observed Fisher information matrix on a sample from the type 1 discrete Weibull distribution
varFisher(x, zero = FALSE)
x 
a vector of sample values 
zero 

a list of two matrices: the observed Fisher information matrix, and its inverse, which contains asymptotic variances and covariances of the maximum likelihood estimators of q
and \beta
Alessandro Barbiero
x < rdweibull(100, 2/3, 3/2)
estdweibull(x, "ML")
IF < varFisher(x)[[2]]
diag(IF)
diag(IF)/length(x)
# asymptotic variances of the ML estimators directly estimated from the sample