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

Table 4

Average bias values of estimates and their MSE (in brackets) when n=100.

Parameters	MLE’s	LSE’S	WLSE’s	PCE’s
	0.0123(0.0071)	-0.0037(0.0102)	0.0026(0.0083)	0.4887(0.6267)
	0.0110(0.0040)	0.0016(0.0051)	0.0051(0.0044)	0.0732(0.0201)
	0.0078(0.0037)	-0.0038(0.0051)	0.0007(0.0042)	-0.0465(0.0217)
	0.0464(0.0546)	0.0096(0.0732)	0.0218(0.0608)	-0.0759(0.1151)
	0.0073(0.0033)	-0.0037(0.0045)	0.0005(0.0037)	-0.0398(0.0133)
	0.0686(0.1113)	0.0162(0.1506)	0.0332(0.1244)	-0.1157(0.2009)
	0.0070(0.0030)	-0.0036(0.0041)	0.0004(0.0034)	-0.0343(0.0095)
	0.0931(0.1943)	0.0242(0.2650)	0.0462(0.2181)	-0.1487(0.3103)
	0.2463(0.02854)	-0.0073(0.0407)	0.0052(0.0333)	0.9773(2.5066)
	0.0110(0.0040)	0.0016(0.0051)	0.0051(0.0044)	0.0732(0.0201)
	0.0156(0.0148)	-0.0076(0.0202)	0.0013(0.0168)	-0.0930(0.0868)
	0.0464(0.0546)	0.0096(0.0732)	0.0218(0.0608)	-0.0759(0.1151)
	0.0146(0.0131)	-0.0074(0.0178)	0.0010(0.0148)	-0.0799(0.0533)
	0.0686(0.1113)	0.0162(0.1506)	0.0332(0.1244)	-0.1157(0.2009)
	0.0139(0.0120)	-0.0072(0.0164)	0.0013(0.0168)	-0.0687(0.0379)
	0.0931(0.1943)	0.0242(0.2650)	-0.9783(1.0173)	-0.1487(0.3103)