Journal of Big Data

Table 7 Maximum Random variate when \(\alpha =1\), \(\beta =0.5\) and \(n\)= 15

From: Uncertainty-driven generation of neutrosophic random variates from the Weibull distribution

\({U}_{N}\)	\({I}_{N}\)
\({U}_{N}\)	0	0.1	0.2	0.3	0.4
0.0773	3.4304	2.1152	1.4704	1.0934	0.8498
0.8613	21.2951	5.3059	3.0395	2.0559	1.5087
0.3816	7.7129	3.6640	2.3132	1.6330	1.2281
0.4204	8.2949	3.8118	2.3852	1.6766	1.2577
0.0935	3.6983	2.2413	1.5455	1.1437	0.8861
0.9264	27.8983	5.5146	3.1211	2.1012	1.5379
0.5284	10.1055	4.2019	2.5685	1.7859	1.3311
0.6094	11.7447	4.4801	2.6937	1.8592	1.3799
0.7484	15.6529	4.9410	2.8914	1.9727	1.4545
0.9964	69.5538	5.7385	3.2061	2.1478	1.5679
0.4339	8.5041	3.8620	2.4093	1.6911	1.2675
0.5091	9.7552	4.1338	2.5372	1.7674	1.3188
0.6839	13.6036	4.7290	2.8020	1.9217	1.4211
0.7206	14.7046	4.8499	2.8533	1.9510	1.4404
0.6002	11.5426	4.4490	2.6800	1.8512	1.3746

\({U}_{N}\)	\({I}_{N}\)
\({U}_{N}\)	0.5	0.6	0.7	0.8	0.9
0.0773	0.6818	0.5603	0.4693	0.3992	0.3440
0.8613	1.1642	0.9302	0.7626	0.6378	0.5421
0.3816	0.9630	0.7782	0.6435	0.5418	0.4629
0.4204	0.9845	0.7946	0.6564	0.5522	0.4716
0.0935	0.7093	0.5819	0.4868	0.4136	0.3561
0.9264	1.1848	0.9455	0.7745	0.6474	0.5499
0.5284	1.0376	0.8349	0.6881	0.5779	0.4928
0.6094	1.0726	0.8614	0.7089	0.5946	0.5066
0.7484	1.1259	0.9014	0.7402	0.6198	0.5273
0.9964	1.2059	0.9612	0.7867	0.6571	0.5579
0.4339	0.9916	0.8000	0.6607	0.5557	0.4744
0.5091	1.0287	0.8282	0.6828	0.5736	0.4893
0.6839	1.1021	0.8836	0.7262	0.6086	0.5181
0.7206	1.1158	0.8939	0.7343	0.6151	0.5234
0.6002	1.0688	0.8585	0.7066	0.5928	0.5051

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