Journal of Big Data

Table 6 Maximum Random variate when \(\alpha =0.5\), \(\beta =0.5\) 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	1.7152	1.0576	0.7352	0.5467	0.4249
0.8613	10.6475	2.6529	1.5198	1.0280	0.7544
0.3816	3.8565	1.8320	1.1566	0.8165	0.6141
0.4204	4.1475	1.9059	1.1926	0.8383	0.6288
0.0935	1.8491	1.1207	0.7728	0.5719	0.4430
0.9264	13.9491	2.7573	1.5605	1.0506	0.7690
0.5284	5.0528	2.1009	1.2843	0.8930	0.6656
0.6094	5.8724	2.2400	1.3469	0.9296	0.6899
0.7484	7.8265	2.4705	1.4457	0.9863	0.7273
0.9964	34.7769	2.8692	1.6031	1.0739	0.7840
0.4339	4.2520	1.9310	1.2046	0.8456	0.6337
0.5091	4.8776	2.0669	1.2686	0.8837	0.6594
0.6839	6.8018	2.3645	1.4010	0.9608	0.7106
0.7206	7.3523	2.4250	1.4266	0.9755	0.7202
0.6002	5.7713	2.2245	1.3400	0.9256	0.6873

\({U}_{N}\)	\({I}_{N}\)
\({U}_{N}\)	0.5	0.6	0.7	0.8	0.9
0.0773	0.3409	0.2801	0.2347	0.1996	0.1720
0.8613	0.5821	0.4651	0.3813	0.3189	0.2710
0.3816	0.4815	0.3891	0.3217	0.2709	0.2315
0.4204	0.4922	0.3973	0.3282	0.2761	0.2358
0.0935	0.3546	0.2910	0.2434	0.2068	0.1780
0.9264	0.5924	0.4728	0.3873	0.3237	0.2750
0.5284	0.5188	0.4175	0.3441	0.2890	0.2464
0.6094	0.5363	0.4307	0.3544	0.2973	0.2533
0.7484	0.5629	0.4507	0.3701	0.3099	0.2637
0.9964	0.6030	0.4806	0.3934	0.3286	0.2790
0.4339	0.4958	0.4000	0.3303	0.2778	0.2372
0.5091	0.5144	0.4141	0.3414	0.2868	0.2446
0.6839	0.5510	0.4418	0.3631	0.3043	0.2591
0.7206	0.5579	0.4469	0.3671	0.3075	0.2617
0.6002	0.5344	0.4293	0.3533	0.2964	0.2526

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