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

Table 1

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

25	0.5	1.0	221.9361	205.4964	221.9361	221.9361	264.2096
	1.0	1.5	20.05983	19.2883	20.05983	20.05983	21.80416
50	0.5	1.0	354.8246	341.1775	354.8246	354.8246	385.6789
	1.0	1.5	49.986	49.00588	49.986	49.986	52.06875
100	0.5	1.0	863.8767	846.938	863.8767	863.8767	899.8716
	1.0	1.5	122.1739	120.9643	122.1739	122.1739	124.6672

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