Research Article

Novel Type I Half Logistic Burr-Weibull Distribution: Application to COVID-19 Data

Table 2

MLE and Bayesian estimation for parameter of TIHLBW distribution when and other values.


MLEBayesianMLEBayesian
nBiasMSEBiasMSEBiasMSEBiasMSE
1.525-0.21110.40320.00630.0030-0.00260.00060.00140.0003
0.08760.15680.05350.02740.03170.09070.02590.0851
0.26630.58020.14830.09080.10400.09120.10120.0564
0.05500.02330.00780.0061-0.00810.0026-0.00780.0019
50-0.09770.14100.00610.0030-0.00200.00020.00120.0002
0.04970.06740.04680.02350.01010.04410.00930.0390
0.10610.24110.10440.08980.03870.03390.02880.0315
0.02450.00950.00430.0046-0.00400.0012-0.00130.0011
100-0.06680.09010.00590.0029-0.00040.00020.00020.0002
0.03720.04800.03440.01930.00050.02820.00030.0182
0.08710.19700.08700.08800.02800.02230.01900.0148
0.01220.0058-0.00220.0039-0.00320.0008-0.00210.0007
325-0.23650.59050.01280.0027-0.00110.00160.01460.0013
0.03950.07940.03470.01750.07430.10370.10390.0939
0.19530.56840.06070.03210.08360.12050.07890.0409
0.06320.02140.00790.00460.00030.0014-0.00390.0009
50-0.07070.13020.01400.00230.00080.00040.00040.0003
0.01500.01390.01310.00820.02600.04570.01750.0392
0.07330.13240.06560.03040.04120.05170.04070.0406
0.02310.00480.00780.0028-0.00070.0006-0.00060.0005
100-0.06240.12740.00820.0021-0.00050.00030.00010.0003
0.01200.01170.01200.00500.01220.02900.01050.0183
0.02460.11870.02250.02480.01540.03270.05660.0254
0.01960.00310.00500.00170.00030.0004-0.00270.0003