Research Article

A Simple Empirical Likelihood Ratio Test for Normality Based on the Moment Constraints of a Half-Normal Distribution

Table 8

Results of the Monte Carlo power comparisons based on samples with sizes from asymmetric alternative distributions defined on at .

Asymmetric alternative distributions defined on at
Distribution AD CVMJB SW DB SEELR

200.64460.5692 0.64400.6556 0.64980.4612 0.56880.5542
300.80600.7178 0.79340.8080 0.8072 0.6210 0.66780.7242
500.94920.8900 0.93940.9414 0.9410 0.7820 0.77820.8872
800.99280.9762 0.98920.9924 0.9924 0.9294 0.8410 0.9726

200.31800.2368 0.28480.3606 0.3142 0.1638 0.27900.2744
300.40860.3246 0.38840.4810 0.4518 0.2262 0.35840.3718
500.59120.4618 0.55380.6592 0.6360 0.3202 0.48300.5344
800.76420.6370 0.72960.8290 0.8108 0.4626 0.58260.7084

200.14900.1138 0.14040.1934 0.16920.0766 0.1420 0.1492
300.19580.1424 0.17360.2722 0.2318 0.0940 0.1876 0.1936
500.28460.1968 0.25220.3834 0.3372 0.1194 0.2556 0.2738
800.38480.2756 0.35420.5102 0.4556 0.1620 0.3300 0.3798

SN(0,1,2)200.08960.0756 0.08820.1054 0.1068 0.0636 0.0978 0.0710
300.11940.0912 0.10620.1214 0.1422 0.0784 0.1336 0.0792
500.16660.1260 0.14880.1810 0.1968 0.1164 0.20800.0800
800.24340.1918 0.2258 0.2712 0.2940 0.1550 0.3074 0.0890

SN(0,1,5)200.24060.1744 0.22120.2060 0.2660 0.2092 0.2810 0.1144
300.35860.2604 0.31520.3056 0.4230 0.3346 0.47420.1278
500.57960.4098 0.54300.4768 0.6672 0.5250 0.71100.1372
800.80800.6084 0.7554 0.7378 0.8888 0.7394 0.90200.1722

SC(0,2,5)200.96600.93600.96580.94100.9736 0.94360.94620.8482
300.99780.98840.99540.99100.99700.9882 0.97740.9524
501.00000.99981.00000.9998 0.99980.99920.98440.9940
801.0000 1.0000 1.00001.0000 1.00001.00000.99760.9998

Anderson-Darling () test, Modified Kolmogorov-Smirnov () test [2], Cramer-von Mises test () test, Jarque-Bera () test, Shapiro-Wilk () test, density based empirical likelihood ratio based () test [16], simple and exact empirical likelihood ratio based () test [13], and the proposed test .