How to perform monte Carlo simulation for maximum likelihood estimate of the parameters

My model whose Quantile function is like this
qexp.inv.power.cauchy <- function(p, alpha, beta, lambda)
{
z <- tan(((1-p^(1/lambda))pi)/2)
qtl <- lambda
z^(-1/alpha)
return(qtl)
}

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