Exponentiated Inverse Rayleigh Distribution and an Application to Coating Weights of Iron Sheets Data

Table 1

Average bias values of estimates and their MSE (in brackets) when n=20.

Parameters	MLE’s	LSE’S	WLSE’s	PCE’s
	0.0720(0.0474)	-0.0050(0.0637)	0.0065(0.0552)	0.3384(0.5745)
	0.0667(0.0359)	0.0226(0.0491)	0.0262(0.0397)	0.0968(0.0578)
	0.0452(0.0225)	-0.0108(0.0295)	-0.0027(0.0258)	-0.0068(0.0347)
	0.2957(0.6249)	0.1433(1.7474)	0.1402(1.1410)	0.0733(0.4290)
	0.0419(0.0197)	-0.0109(0.0259)	-0.0032(0.0227)	-0.01400(0.0247)
	0.4445(1.3893)	0.2432(5.4847)	0.2289(3.3600)	0.0736(0.7986)
	0.0400(0.0181)	-0.0109(0.0238)	-0.0034(0.0208)	-0.0172(0.0202)
	0.6120(2.6197)	0.3703(14.2642)	0.3383(8.3954)	0.0770(1.3550)
	0.1439(0.1896)	-0.0100(0.2549)	0.0130(0.2208)	0.6767(2.2979)
	0.0667(0.0359)	0.0226(0.0491)	0.0262(0.0397)	0.0968(0.0578)
	0.0904(0.0901)	-0.0216(0.1181)	-0.0053(0.1032)	-0.0136(0.1386)
	0.2957(0.6250)	0.1433(1.7474)	0.1402(1.1410)	0.0733(0.4290)
	0.0839(0.0790)	-0.0218(0.1037)	-0.0064(0.0906)	-0.0280(0.0989)
	0.4445(1.3893)	0.2432(5.4847)	0.2289(3.3600)	0.0736(0.7986)
	0.0800(0.0723)	-0.0217(0.0952)	-0.0053(0.1032)	-0.0344(0.0807)
	0.6120(2.6197)	0.3703(14.2642)	-0.8598(1.8606)	0.0770(1.3550)