Research Article

[Retracted] The Power XLindley Distribution: Statistical Inference, Fuzzy Reliability, and COVID-19 Application

Table 4

Simulation values of BIAS, MSE, and MRE for and .

Est.Est. Par.MLEADECVMEMPSELSEPCERTADEWLSELTADE

20BIAS0.521184{5}0.467495{2}0.753993{9}0.426985{1}0.581814{7}0.491352{3}0.526135{6}0.503814{4}0.701128{8}
0.076772{2}0.076104{1}0.102718{8}0.078158{3}0.086544{5}0.148815{9}0.090632{6}0.084575{4}0.096793{7}
MSE0.604624{6}0.411346{2}3.032123{9}0.331002{1}0.801514{7}0.575714{4}0.596513{5}0.540103{3}1.553027{8}
0.010574{3}0.009815{2}0.02066{8}0.009109{1}0.01216{5}0.03465{9}0.014927{6}0.012094{4}0.016837{7}
MRE0.208474{5}0.186998{2}0.301597{9}0.170794{1}0.232726{7}0.196541{3}0.210454{6}0.201525{4}0.280451{8}
0.153544{2}0.152208{1}0.205435{8}0.156317{3}0.173088{5}0.297631{9}0.181264{6}0.16915{4}0.193587{7}
23{3.5}10{1.5}51{9}10{1.5}36{6}37{7}35{5}23{3.5}45{8}

60BIAS0.265319{3}0.273776{6}0.306174{8}0.238352{1}0.290567{7}0.257912{2}0.271254{4}0.273431{5}0.339426{9}
0.041686{2}0.044312^({3})0.052367{8}0.041296{1}0.050037{6}0.112478{9}0.048004{5}0.045441{4}0.05171{7}
MSE0.125759{4}0.132248{6}0.181615{8}0.090083{1}0.140764{7}0.110871{2}0.126727{5}0.125333{3}0.215019{9}
0.002811{2}0.003134{3}0.004529{8}0.002637{1}0.004102{6}0.020149{9}0.003732{5}0.00343{4}0.004432{7}
MRE0.106128{3}0.10951{6}0.12247{8}0.095341{1}0.116227{7}0.103165{2}0.108502{4}0.109372{5}0.135771{8}
0.083371{2}0.088625{3}0.104733{8}0.082593{1}0.100074{6}0.224957{9}0.096009{5}0.090882{4}0.103419{7}
16{2}27{4}48^({8.5})6{1}39{7}33{6}28{5}25{3}48{8.5}

100BIAS0.199122{2}0.206032{4}0.22673{7}0.19245{1}0.229466{8}0.220894{6}0.199846{3}0.208453{5}0.25666{9}
0.032435{1}0.034336{3}0.038934{6}0.033479{2}0.039013{7}0.092339{9}0.036641{5}0.035227{4}0.039599{8}
MSE0.066608{3}0.071395{4}0.089779{7}0.057914{1}0.090105{8}0.08029{6}0.066601{2}0.073165{5}0.116057{9}
0.001705{2}0.001877{3}0.002458{7}0.001685{1}0.002398{6}0.014214{9}0.002186{5}0.001999{4}0.002515{8}
MRE0.079649{2}0.082413{4}0.090692{7}0.07698{1}0.091786{8}0.088358{6}0.079938{3}0.083381{5}0.102664{9}
0.064871{1}0.068673{3}0.077867{6}0.066958{1}0.078027{7}0.184678{9}0.073282{5}0.070454{4}0.079197^({8})
11{2}21{3}40{6}8{1}44{7}45{8}23{4}27{5}51{9}

200BIAS0.139654{3}0.145635{5}0.162861{8}0.132133{1}0.161872{7}0.157093{6}0.136732{2}0.144871{4}0.178635{9}
0.022005{1}0.023786{3}0.028828{8}0.023118{2}0.026891{6}0.075261{9}0.025796{5}0.024335{4}0.027892{7}
MSE0.030723{3}0.033699{5}0.043523{8}0.026881{1}0.041419{6}0.042857{7}0.030332{2}0.032729{4}0.053613{9}
0.000777{1}0.000882{3}0.001319{8}0.000815{2}0.001169{6}0.009177{9}0.001054{5}0.00094{4}0.001226{7}
MRE0.055862{3}0.058254{5}0.065144{8}0.052853{1}0.064749{7}0.062837{6}0.054693{2}0.057948{4}0.071454{9}
0.044011{1}0.047571{3}0.057656{8}0.046236{2}0.053782{6}0.150522{9}0.051593{5}0.04867{4}0.055783{7}
12{2}24{4.5}48{8}9{1}38{6}46{7}21{3}24{4.5}48{8.5}

350BIAS0.104313{3}0.109432{5}0.118824{8}0.09866{1}0.117734{6}0.125123{8}0.102642{2}0.106265{4}0.144369{9}
0.016325{1}0.018767{5}0.020675{8}0.016489{2}0.021033{8}0.061037{9}0.019663{5}0.018562{3}0.020636{6}
MSE0.017754{3}0.018707{5}0.023275{8}0.015368{1}0.022592{6}0.027329{8}0.016928{2}0.018148{4}0.033717{9}
0.000429{2}0.00054{4}0.00069{8}0.000426{1}0.000691{8}0.006229{9}0.000617{5}0.000534{3}0.000671{6}
MRE0.041725{3}0.043773{5}0.047529{8}0.039464{1}0.047094{6}0.050049{8}0.041057{2}0.042506{4}0.057747{9}
0.03265{1}0.037534{4}0.04135{8}0.032979{2}0.042065{8}0.122074{9}0.039325{5}0.037124{3}0.041273{6}
13{2}27{5}42{6.5}8{1}42{6.5}51{9}21{3.5}21{3.5}45{8}

500BIAS0.080085{1}0.092965{5}0.098139{6}0.082415{2}0.101594{7}0.114768{9}0.088289{3}0.091908{4}0.109989{8}
0.013154{1}0.015722{4}0.017762{7}0.014324{3}0.017534{6}0.055976{9}0.016353{5}0.014203{2}0.018341{8}
MSE0.010171{1}0.013879{5}0.015258{6}0.011104{2}0.016673{7}0.026277{9}0.012824{3}0.012978{4}0.019589{8}
0.000286{1}0.000386{4}0.000488{7}0.000316{2}0.000486{6}0.005328{9}0.000412{5}0.000322{3}0.000527{8}
MRE0.032034{1}0.037186{5}0.039256{6}0.032966{2}0.040637{7}0.045907{9}0.035316{3}0.036763{4}0.043995{8}
0.026307{1}0.031444{4}0.035524{7}0.028648{3}0.035067{6}0.111952{9}0.032707{5}0.028405{2}0.036682{8}
6{1}27{5}39{6.5}14{2}39{6.5}54{9}24{4}19{3}48{8}