Type I Half Logistic Burr X-G Family: Properties, Bayesian, and Non-Bayesian Estimation under Censored Samples and Applications to COVID-19 Data

Algorithm 2

Algorithm of Monte Carlo simulation experiments.

(1)	Determine the 10000 iteration number.
(2)	Different sample sizes are considered to be 25, 50, and 100.
(3)	We use different case of actual values as follows:
	Case I: and .
	Case II: and .
	Case III: and .
	Case IV: and .
(4)	Generate a random sample for the HLBXL distribution.
(5)	Use ML and Bayesian estimation methods to estimate the unknown parameters of HLBXL distribution.
(6)	Repeat Steps 4 and 5, to obtain the estimates for 10000 iteration.
(7)	Use different measures as follows: and .