Bayes Estimation of a Two-Parameter Geometric Distribution under Multiply Type II Censoring

Table 9

The bayes estimators and their risks under LLF.*

a	b		𝛼2=−1			𝛼2=−2
		𝑀𝐿	𝑝𝐿	𝑅𝐿(𝑡0)	𝑀𝐿	𝑝𝐿	𝑅𝐿(𝑡0)
	1	6	0.2972	0.2591	7	0.2983	0.2598
		2.0498	0.00094	0.00185	7.0003	0.00377	0.00717
	2	6	0.3045	0.2489	7	0.3056	0.2497
		2.0498	0.00096	0.00167	7.0003	0.00387	0.00653
7	3	6	0.3117	0.2392	7	0.3128	0.2400
		2.0498	0.00104	0.00016	7.0003	0.00417	0.00628
	5	6	0.3255	0.2212	7	0.3267	0.2221
		2.0498	0.00132	0.00170	7.0003	0.00530	0.00675
	7	6	0.3389	0.2049	7	0.3400	0.2058
		2.0498	0.00177	0.00206	7.0003	0.00706	0.00828
	9	6	0.3516	0.1901	7	0.3527	0.1909
		2.0498	0.00236	0.00262	7.0003	0.00935	0.01061
1		6	0.3329	0.2142	7	0.3341	0.2151
		2.0498	0.00177	0.00210	7.0003	0.00705	0.00842
3		6	0.3255	0.2226	7	0.3267	0.2235
		2.0498	0.00146	0.00186	7.0003	0.00584	0.00741
5		6	0.3184	0.2309	7	0.3196	0.2318
		2.0498	0.00122	0.00170	7.0003	0.00489	0.00670
7	3	6	0.3117	0.2392	7	0.3128	0.2400
		2.0498	0.00104	0.00016	7.0003	0.00417	0.00628
8		6	0.3084	0.2432	7	0.3095	0.2441
		2.0498	0.00097	0.00157	7.0003	0.00389	0.00617
9		6	0.3052	0.2473	7	0.3063	0.2481
		2.0498	0.00091	0.00156	7.0003	0.00366	0.00612

*In each cell the first value gives Bayes estimate and second its risk.