Table 4.

Simulation results for the estimation of parameters under the model 3 while the true parameter values were ( $p,{\beta }_1^1$, ${\beta }_2^1,{\beta }_1^2$, ${\beta }_2^2)=$ (0.3, 0.5, 0.5, −0.5, 0.5).

		nk =15, $n=240$				nk  = 30, $n=480$				$n_k$= 50, $n=800$
Censoring rate		Estimate	Rel.Bias	MSE	CP	Estimate	Rel.Bias	MSE	CP	Estimate	Rel.Bias	MSE	CP
20%	${\mathit{\beta }}_1^1$ = 0.5	0.486	−0.025	0.027	96	0.496	−0.005	0.014	96	0.495	−0.007	0.008	94
	${\mathit{\beta }}_2^1$ = 0.5	0.490	−0.016	0.010	93	0.504	0.010	0.007	95	0.503	0.003	0.006	96
	$({\mathit{\sigma }}_{\mathit{w}}^2{)}^1$ = 1	1.181	0.181	0.142	91	1.123	0.123	0.101	93	1.106	0.106	0.068	97
40%
	${\mathit{\beta }}_1^1$ = 0.5	0.481	−0.032	0.018	92	0.491	−0.014	0.008	97	0.506	0.008	0.007	96
	${\mathit{\beta }}_2^1$ = 0.5	0.478	−0.034	0.021	96	0.493	−0.013	0.018	94	0.492	−0.014	0.009	94
	$({\mathit{\sigma }}_{\mathit{w}}^2{)}^1$ = 1	1.292	0.292	0.194	94	1.186	0.186	0.142	96	0.893	−0.107	0.071	98
60%
	${\mathit{\beta }}_1^1$ = 0.5	0.488	−0.022	0.027	93	0.471	−0.039	0.016	95	0.491	−0.014	0.012	94
	${\mathit{\beta }}_2^1$ = 0.5	0.484	−0.028	0.032	94	0.475	−0.035	0.026	94	0.520	0.033	0.015	97
	$({\mathit{\sigma }}_{\mathit{w}}^2{)}^1$ = 1	1.312	0.312	0.213	92	1.298	0.298	0.184	97	0.857	−0.143	0.080	96