Research Article

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

Table 5

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

Est.Est. par.MLEADECVMEMPSELSEPCERTADEWLSELTADE

20BIAS0.260322{7}0.252966{4}0.286052{8}0.212118{1}0.259951{6}0.230689{2}0.239306{3}0.253787{5}0.324086{9}
0.390096{3}0.412361{4}0.505593{8}0.380992{2}0.458447{7}0.379715{1}0.414099{5}0.435619{6}0.510942{9}
MSE0.120027{5}0.10955{4}0.186034{8}0.075026{1}0.147429{7}0.094146{2}0.106249{3}0.122371{6}0.250058{9}
0.274304{3}0.296691{4}0.534281{9}0.222639{1}0.346186{7}0.22481{2}0.312561{5}0.337199{6}0.494843{8}
MRE0.173548{7}0.168644{4}0.190701{8}0.141412{1}0.173301{6}0.153793{2}0.159537{3}0.169191{5}0.216057{9}
0.156038{3}0.164944{4}0.202237{8}0.152397{2}0.183379{7}0.151886{1}0.16564{5}0.174248{6}0.204377{9}
28{5}24{3.5}49{8}8{1}40{7}10{2}24{3.5}34{6}53{9}

60BIAS0.127447{1}0.140202{5}0.149724{8}0.127918{2}0.138552{4}0.128937{3}0.140356{6}0.145771{7}0.154086{9}
0.206986{1}0.225093{4}0.253965{7}0.23259{5}0.254481{8}0.213088{2}0.238331{6}0.224397{3}0.256915{9}
MSE0.026638{2}0.031322{5}0.038656{8}0.026291{1}0.030462{4}0.027024{3}0.031407{6}0.034376{7}0.040969{9}
0.071275{2}0.081426{5}0.111348{9}0.078337{3}0.101455{7}0.069738{1}0.096487{6}0.079157{4}0.10806{9}
MRE0.084964{1}0.093468{5}0.099816{8}0.085279{2}0.092368{4}0.085958{3}0.093571{6}0.097181{7}0.102724{9}
0.082794{1}0.090037{4}0.101586{7}0.093036{5}0.10179287}0.085235{2}0.095332{6}0.089759{3}0.102766{9}
8{1}28{4}47{8}18{3}35{6}14{2}36{7}31{5}53{9}

100BIAS0.108672{6}0.105696{5}0.117563{9}0.09787{2}0.112172{7}0.096309{1}0.100645{3}0.102352{4}0.113071{8}
0.160012{2}0.168575{3}0.198132{9}0.170146{4}0.193601{7}0.159442{1}0.181613{6}0.172704{5}0.195852{8}
MSE0.018883{6}0.017835{5}0.021818{9}0.015112{2}0.020421{7}0.014428{1}0.016357{3}0.016985{4}0.020676{8}
0.042642{2}0.044001{4}0.065373{9}0.042984{3}0.057578{7}0.038296{1}0.053659{6}0.047041{5}0.062995{8}
MRE0.072448{6}0.070464{5}0.078375{9}0.065246{2}0.074781{7}0.064206{1}0.067097{3}0.068235{4}0.075381{8}
0.064005{2}0.06743{3}0.079253{9}0.068059{4}0.07744{7}0.063777{1}0.072645{6}0.069082{5}0.078341{8}
24{3}25{4}54{9}17{2}42{7}6{1}27{5.5}27{5.5}48{8}
200BIAS0.072573{3}0.0739{4}0.075672{7}0.071735{2}0.077291{8}0.071665{1}0.0749{6}0.074856{5}0.082323{9}
0.116527{3}0.117408{4}0.135815{8}0.111618{1}0.129664{7}0.112908{2}0.12543{6}0.121674{5}0.141145{9}
MSE0.00847{3}0.008563{4}0.009018{7}0.008238{2}0.009339{8}0.007981{1}0.008825{6}0.008743{5}0.010496{9}
0.021346{3}0.022249{4}0.030064{8}0.019931{1}0.02741{7}0.02014{2}0.024372{6}0.022852{5}0.031395{9}
MRE0.048382{3}0.049267{4}0.050448{7}0.047823{2}0.051527{8}0.047776{1}0.049934{6}0.049904{5}0.054882{9}
0.046611{3}0.046963{4}0.054326{8}0.044647{1}0.051865{7}0.045163{2}0.050172{6}0.04867{5}0.056458{9}
18{3}24{4}45{7.5}9{1.5}45{7.5}9{1.5}36^{6}30{5}54{9}

350BIAS0.053528{2}0.054066{3}0.059041{7}0.054357{4}0.059289{8}0.052958{1}0.05575{6}0.055388{5}0.060781{9}
0.079826{1}0.091069{5}0.103266{9}0.085171{2}0.099207{7}0.087793{3}0.09334{6}0.088486{4}0.102409{8}
MSE0.004605{2}0.004705{4}0.00544{7}0.004695{3}0.005646{8}0.004399{1}0.004836{5}0.00492{6}0.005795{9}
0.010508{1}0.012945{5}0.017093{9}0.011567{2}0.015637{7}0.012121{3}0.014118{6}0.012408{4}0.016951{8}
MRE0.035685{2}0.036044{3}0.039361{7}0.036238{4}0.039526{8}0.035305{1}0.037166{6}0.036926{5}0.04052{9}
0.03193{1}0.036428{5}0.041306{9}0.034068{2}0.039683{7}0.035117{3}0.037336{6}0.035394{4}0.040964{8}
9{1}25{4}48{8}17{3}45{7}12{2}35{6}28{5}51{9}

600BIAS0.046772{4}0.046659{3}0.048574{8}0.047313{6}0.047942{7}0.045318{1}0.045952{2}0.046996{5}0.055547{9}
0.070225{1}0.075111{4}0.087494{8}0.070843{2}0.082491{7}0.074186{3}0.082064{6}0.076815{5}0.090869{9}
MSE0.003462{5}0.003455{4}0.003917{8}0.003465{6}0.003678{7}0.003229{1}0.003322{2}0.003402{3}0.004951{9}
0.00806{2}0.008834{4}0.011932{8}0.007829{1}0.010944{7}0.008551{3}0.010789{6}0.009387{5}0.012818{9}
MRE0.031181{4}0.031106{3}0.032383{8}0.031542{6}0.031961{7}0.030212{1}0.030634{2}0.031331{5}0.037031{9}
0.02809{1}0.030044{4}0.034998{8}0.028337{2}0.032996{7}0.029675{3}0.032826{6}0.030726{5}0.036348{9}
17{2}22{3}48{8}23{4}42{7}12{1}24{5}28{6}54{9}