Bayesian Estimation for Burr Distribution Type III Based on Trimmed Samples

Table 5

The posterior mean and posterior variance of the Burr distribution with two parameter under doubly censored sample when (𝑐=1.2, 𝑘=1.5) in case of informative prior.

𝑛	𝑟	𝑠	𝑐		𝑘
			Posterior mean	Posterior variance	Posteriormean	Posterior variance
		5	0.495	0.204	1.017	0.719
10	2	7	0.384	0.214	0.701	0.645
		9	0.258	0.217	0.608	0.201
		10	0.234	0.391	1.010	0.604
20	2	15	0.128	8.215	0.871	0.556
		18	0.087	0.319	0.691	0.493
		20	0.482	0.339	0.437	0.911
40	3	30	0.352	0.337	0.288	0.425
		38	0.241	0.190	0.119	0.307
		30	0.852	0.199	0.609	0.827
60	3	45	0.729	0.160	0.547	0.647
		58	0.635	0.139	0.489	0.558
		40	0.957	1.171	0.827	0.728
80	5	65	0.721	0.206	0.667	0.661
		78	0.408	0.078	0.524	0.337
		50	0.992	0.761	0.718	0.901
100	5	75	0.745	0.895	0.651	0.763
		98	0.604	0.612	0.581	0.522