Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution

Table 3

Estimates by using Quasi prior under three different loss functions.

25	0.5	1.0	1.0; 1.5	221.9361; 221.9361	205.4964; 198.1572	221.9361; 213.4001	221.9361; 213.4001	264.2096; 252.2001
	1.0	1.5	1.0; 1.5	20.05983; 20.05983	19.2883; 18.92437	20.05983; 19.6665	20.05983; 19.6665	21.80416; 21.34024
50	0.5	1.0	1.0; 1.5	354.8246; 354.8246	341.1775; 334.7401	354.8246; 347.8672	354.8246; 347.8672	385.6789; 377.4729
	1.0	1.5	1.0; 1.5	49.986; 49.986	49.00588; 48.5301	49.986; 49.49109	49.986; 49.49109	52.06875; 51.53196
100	0.5	1.0	1.0; 1.5	863.8767; 863.8767	846.938; 838.7153	863.8767; 855.3235	863.8767; 855.3235	899.8716; 890.5946
	1.0	1.5	1.0; 1.5	122.1739; 122.1739	120.9643; 120.3684	122.1739; 121.5661	122.1739; 121.5661	124.6672; 124.0344

ML: maximum likelihood, qd: quadratic loss function, ef: entropy loss function, and nl: Al-Bayyati’s new loss function.