Based on Asymptotic Distribution Theory an exact statistical result is a little difficult to ascertain. Therefore, find the the distribution of the MME and MLE and you know that the central limit theorem may apply and using moments estimator, compute E(X) and Var (X) and also the derivative and then use the formula to plug it all in, If you use the central limit theorem, then you may apply the Delta method. Use Slutsky’s Theorem to expand the CLT.

Sounds intriguing.. Please tell more about your research :)

Is this package applicable: https://cran.r-project.org/web/packages/fitdistrplus/vignettes/paper2JSS.pdf ?

Based on Asymptotic Distribution Theory an exact statistical result is a little difficult to ascertain. Therefore, find the the distribution of the MME and MLE and you know that the central limit theorem may apply and using moments estimator, compute E(X) and Var (X) and also the derivative and then use the formula to plug it all in, If you use the central limit theorem, then you may apply the Delta method. Use Slutsky’s Theorem to expand the CLT.

Pradeep Paraman thank you for your respond, do u have an article or paper can explain the steps, so i can understand more ? i would really appreciate it

How much?

compensation

Attached for your kind perusal @Miss. A.M

Continuous derivative

Alexander Izmailov : https://en.wikipedia.org/wiki/Altruism