Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application

Table 7

ML and Bayes estimate of with respected MSE’s for different values of and for .

(, )
(40, 20)	0.05	0.46713	0.48552	0.47009	0.45666	0.47515	0.46259
		0.01114	0.00845	0.00751	0.00972	0.00748	0.01025
	0.1	0.46125	0.47197	0.45616	0.47593	0.48054	0.45602
		0.01352	0.00947	0.00863	0.01045	0.00954	0.01104
	0.15	0.45438	0.46845	0.45878	0.46807	0.45768	0.45428
		0.01458	0.01155	0.00987	0.01257	0.0983	0.01296
	0.2	0.45044	0.46461	0.48774	0.48654	0.47065	0.45916
		0.01587	0.01259	0.01147	0.01298	0.01054	0.01325
(40, 30)	0.05	0.47587	0.46409	0.47205	0.46755	0.4892	0.45338
		0.01048	0.00821	0.00706	0.00825	0.00684	0.00985
	0.1	0.47101	0.45494	0.48784	0.46571	0.48485	0.46927
		0.01285	0.01084	0.00821	0.00925	0.00845	0.00982
	0.15	0.47261	0.47337	0.46603	0.48796	0.46735	0.48672
		0.01394	0.01124	0.00978	0.01137	0.00946	0.01047
	0.2	0.47013	0.48592	0.47325	0.46295	0.47119	0.47339
		0.01406	0.01284	0.01054	0.01174	0.0102	0.01245
(40, 40)	0.05	0.45118	0.46113	0.48044	0.47835	0.47741	0.46629
		0.01024	0.00795	0.00684	0.00865	0.00584	0.00925
	0.1	0.46107	0.48656	0.45806	0.47433	0.45342	0.45489
		0.01154	0.00937	0.00745	0.00885	0.00754	0.01054
	0.15	0.45984	0.48174	0.48548	0.46489	0.45764	0.45546
		0.01289	0.01124	0.00937	0.01021	0.00845	0.00985
	0.2	0.48224	0.48226	0.47255	0.48845	0.47549	0.46443
		0.01296	0.01325	0.0111	0.0119	0.00925	0.01151
(60, 30)	0.05	0.48856	0.47493	0.48144	0.46209	0.46881	0.48382
		0.01125	0.00954	0.00845	0.00875	0.00701	0.00946
	0.1	0.48956	0.46181	0.48602	0.45376	0.45865	0.47669
		0.01196	0.00983	0.00715	0.00913	0.0086	0.01025
	0.15	0.46915	0.47281	0.45268	0.46115	0.48102	0.45792
		0.01287	0.01025	0.00847	0.0111	0.00879	0.00945
	0.2	0.46017	0.45604	0.47769	0.48688	0.45933	0.48065
		0.01358	0.01187	0.00984	0.01278	0.00928	0.01185
(60, 45)	0.05	0.45184	0.45822	0.48051	0.47867	0.45912	0.47607
		0.01084	0.00873	0.00796	0.00823	0.00684	0.00865
	0.1	0.48298	0.46795	0.45636	0.47861	0.45584	0.47979
		0.01098	0.00824	0.00824	0.00905	0.00824	0.00945
	0.15	0.45906	0.47417	0.48786	0.46525	0.47539	0.46911
		0.01112	0.00936	0.00868	0.00983	0.00918	0.00991
	0.2	0.45722	0.48416	0.47605	0.45858	0.48814	0.46787
		0.01298	0.01102	0.00927	0.01111	0.00912	0.01025
(60, 60)	0.05	0.46681	0.46951	0.48478	0.48726	0.48082	0.47215
		0.00945	0.00739	0.00712	0.00817	0.00587	0.00758
	0.1	0.45542	0.48965	0.45947	0.46155	0.47513	0.45572
		0.01029	0.0081	0.0079	0.00873	0.00715	0.00815
	0.15	0.46331	0.47793	0.47067	0.48824	0.48894	0.47217
		0.01098	0.00873	0.00845	0.00942	0.00845	0.00917
	0.2	0.46721	0.45056	0.45349	0.46801	0.45884	0.46493
		0.01143	0.01021	0.00893	0.01044	0.00924	0.01087