Alpha Power Transformed Inverse Lomax Distribution with Different Methods of Estimation and Applications

Table 7

Goodness of fit measures for the data sets.

Model		AIC	BIC
Data I
APTIL	−216.492	438.984	444.597	0.27257	0.038885
APW	−225.272	456.544	462.158	1.52944	0.207808
APIE	−236.609	477.217	480.960	6.46851	1.221870
APP	−263.177	530.354	534.097	10.7680	2.139800
MOLBE	−224.746	453.492	457.235	1.55599	0.216626
IL	−235.826	475.652	479.394	6.48532	1.236730
Data II
APTIL	−197.035	400.070	405.684	0.265554	0.0345284
APIW	−198.597	403.195	408.809	0.539549	0.0651926
APIE	−200.564	405.129	408.871	0.857503	0.1104240
APP	−216.577	437.154	440.896	5.353100	0.9553700
MOLBE	−197.201	398.403	402.145	0.372636	0.0614331
IL	−205.056	414.112	417.854	2.530860	0.4221020
Data III
APTIL	−151.910	309.819	314.023	0.430672	0.056662
APIW	−153.147	312.293	316.497	0.491873	0.069053
APIE	−153.372	310.744	313.546	0.596184	0.089069
APP	−156.025	314.169	316.972	0.796196	0.108866
MOLBE	−155.336	314.673	317.475	2.259080	0.323858
IL	−153.639	310.279	315.081	0.458900	0.066987