Research Article

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

Table 1

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


MLEBayesianMLEBayesian
BiasMSEBiasMSEBiasMSEBiasMSE
1.5250.02640.22860.04640.0137-0.15350.08470.05160.0163
0.12820.30860.05470.0409-0.02720.96040.04480.1072
0.31210.80100.12020.07340.42960.90170.10310.0413
0.35200.57370.03740.01290.30310.35510.04120.0103
500.05330.22350.04510.0126-0.15470.08020.04780.0154
0.05970.13640.04450.02830.07870.75400.02960.1017
0.22750.54540.10390.06530.21110.32690.09090.0351
0.18550.20080.03270.01120.17850.09390.03730.0084
1000.02810.16060.03550.0118-0.05610.02240.04300.0123
0.02010.05310.02560.0208-0.02500.34090.03510.1005
0.12290.25510.09110.05740.12350.13090.07700.0315
0.10200.09120.03060.01020.06840.02010.03030.0060
3250.11360.38610.03860.0147-0.19450.11970.04630.0152
0.13820.26100.05860.02880.06630.79050.13040.1354
0.17261.24760.05420.03240.47251.09350.09250.0425
0.20430.33120.02750.01180.23210.17370.02720.0072
500.09330.30410.03420.0124-0.08890.06420.02990.0148
0.04420.08080.04150.01730.17930.57470.08540.1022
0.19850.83580.05270.03130.13910.35920.08340.0406
0.12530.16360.02270.00800.08710.03060.02800.0063
1000.03170.20760.03410.0119-0.07690.03510.01950.0132
0.01740.03180.02960.01120.07360.33620.05500.1000
0.06490.34020.05070.03050.11500.29680.07330.0406
0.07490.07870.01660.00680.06250.01980.02840.0050