R/NPGL2.R
estim_mu_sigma_NPGL2.Rd
estim_mu_sigma_NPGL2
estim_mu_sigma_NPGL2(y)
vector with the random sample
y <- rNPGL2(n = 100, mu = 3, sigma = 2) estim_mu_sigma_NPGL2(y = y) #> mu_hat sigma_hat #> 0.310729 0.752746