Research Article

Statistical Analysis Based on Progressive Type-I Censored Scheme from Alpha Power Exponential Distribution with Engineering and Medical Applications

Table 5

The classical and Bayes estimates (with their SEs) of , , , and for an electrical appliances dataset.

Scheme ParameterMLEMCMC
SELINEX
āˆ’3āˆ’0.03+3

I0.2372 (0.7818)0.5965 (0.0019)0.7412 (0.0032)0.5978 (0.0023)0.4811 (0.0015)
0.1570 (0.1906)0.2235 (0.0004)0.2299 (0.0005)0.2235 (0.0004)0.2174 (0.0004)
0.7526 (0.0440)0.7507 (0.0003)0.7533 (0.0001)0.7508 (0.0001)0.7482 (0.0001)
0.2729 (0.0529)0.2815 (0.0003)0.2857 (0.0001)0.2816 (0.0001)0.2774 (0.0001)

II0.1399 (0.3678)0.5132 (0.0015)0.5952 (0.0029)0.5141 (0.0024)0.4321 (0.0018)
0.0871 (0.0819)0.1418 (0.0003)0.1445 (0.0004)0.1418 (0.0003)0.1391 (0.0003)
0.8241 (0.0393)0.8231 (0.0002)0.8250 (0.0001)0.8232 (0.0001)0.8213 (0.0001)
0.1880 (0.0450)0.1917 (0.0003)0.1943 (0.0001)0.1917 (0.0001)0.1892 (0.0001)

III0.1395 (0.3606)0.5727 (0.0011)0.6121 (0.0030)0.5732 (0.0027)0.5288 (0.0025)
0.0857 (0.0792)0.1492 (0.0002)0.1512 (0.0004)0.1492 (0.0004)0.1472 (0.0004)
0.8264 (0.0388)0.8252 (0.0002)0.8269 (0.0001)0.8252 (0.0001)0.8235 (0.0001)
0.1853 (0.0443)0.1896 (0.0002)0.1919 (0.0001)0.1896 (0.0001)0.1873 (0.0001)

IV0.6944 (0.9363)0.8375 (0.0010)0.8767 (0.0012)0.8378 (0.0009)0.8064 (0.0007)
0.3673 (0.1659)0.3866 (0.0003)0.3906 (0.0002)0.3867 (0.0001)0.3826 (0.0001)
0.6530 (0.0530)0.6590 (0.0003)0.6615 (0.0001)0.6590 (0.0001)0.6566 (0.0001)
0.4156 (0.0623)0.4128 (0.0004)0.4178 (0.0001)0.4128 (0.0001)0.4078 (0.0001)

V1.7893 (1.3217)1.7901 (0.0007)1.8111 (0.0001)1.7903 (0.0001)1.7691 (0.0001)
0.5216 (0.1024)0.5249 (0.0004)0.5296 (0.0001)0.5249 (0.0001)0.5202 (0.0001)
0.6620 (0.0521)0.6606 (0.0002)0.6620 (0.0001)0.6606 (0.0001)0.6591 (0.0001)
0.4367 (0.0630)0.4403 (0.0003)0.4443 (0.0001)0.4404 (0.0001)0.4364 (0.0001)