On Parameters Estimation of Lomax Distribution under General Progressive Censoring

Table 3

The simulation results and estimates of 𝑆 when 𝛽₁≠𝛽₂.

CS (1)	CS (2)	ML	Bayes (MCMC)
		𝑆ML	𝑆BS	𝑆BL
				𝑎=−2	𝑎=1	𝑎=3
(i)	(ii)	0.7217	0.6968	0.6977	0.6964	0.6954
		(0.0124)	(0.0077)	(0.0078)	(0.0076)	(0.0074)
(iii)	(iv)	0.6440	0.6085	0.6102	0.6077	0.6059
		(0.0013)	(0.0004)	(0.0004)	(0.0004)	(0.0005)
(v)	(vi)	0.7001	0.6731	0.6741	0.6726	0.6716
		(0.0080)	(0.0041)	(0.0042)	(0.0040)	(0.0039)
(vii)	(viii)	0.6771	0.6418	0.6434	0.6410	0.6395
		(0.0044)	(0.0010)	(0.0011)	(0.0010)	(0.0009)