Alpha Power Generalized Inverse Rayleigh Distribution: Its Properties and Applications

Table 1

MSE and bias of MLE.

Parameter	N	,		,
18.4510 1.2510 0.6534	50	45.6174	0.0388	0.3961	−1.0590	0.0641	−0.3221
	90	26.8081	0.0334	0.2198	−0.6299	0.0584	−0.1843
	200	23.1193	0.0137	0.1735	0.5317	0.0341	−0.1389
17.4510 1.4510 0.3534	50	31.9016	0.0976	0.2236	−1.2408	0.0827	−0.3266
	90	18.4479	0.0454	0.2013	−0.7485	0.0507	−0.2920
	200	14.3389	0.0124	0.1530	−0.5075	−0.0053	−0.2155
17.4510 1.2510 0.6534	50	44.2246	0.0463	0.3910	−1.8267	0.0683	−0.3208
	90	34.9931	0.0259	0.3383	−1.6335	0.0210	−0.2738
	200	17.5782	0.0133	0.1853	0.4444	0.0204	−0.1502
17.4510 1.3010 0.6534	50	50.13503	0.0520	0.2882	−1.9696	0.0756	−0.2515
	90	33.5026	0.0334	0.2850	−1.7621	0.0333	−0.2255
	200	22.2469	0.0138	0.2051	−0.0078	0.0326	−0.1635
17.4510 1.4510 0.6034	50	39.7837	0.0753	0.4067	−0.9935	0.0371	−0.3436
	90	37.8969	0.0406	0.3365	−0.2782	0.0349	−0.2836
	200	18.0537	0.0128	0.1725	0.1783	0.0062	−0.1470