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

Table 2

Estimates by using Extension Jeffreys’ prior under three different loss functions.

25	0.5	1.0	0.5; 1.0	221.9361; 221.9361	205.4964; 191.3242	221.9361; 205.4964	221.931; 205.494	264.2096; 241.2349
	1.0	1.5	0.5; 1.0	20.05983; 20.05983	19.2883; 18.57392	20.05983; 19.2883	20.05983; 19.2883	21.80416; 20.89565
50	0.5	1.0	0.5; 1.0	354.8246; 354.8246	341.1775; 328.5413	354.8246; 341.1775	354.8246; 341.1775	385.6789; 369.6089
	1.0	1.5	0.5; 1.0	49.986; 49.986	49.00588; 48.06346	49.986; 49.00588	49.986; 49.00588	52.06875; 51.00612
100	0.5	1.0	0.5; 1.0	863.8767; 863.8767	846.938; 830.6507	863.8767; 846.938	863.8767; 846.938	899.8716; 881.5069
	1.0	1.5	0.5; 1.0	122.1739; 122.1739	120.9643; 119.7783	122.1739; 120.9643	122.1739; 120.9643	124.6672; 123.408

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