Journal of Big Data

Table 8 Maximum Random variate when \(\alpha =1\), \(\beta =1\) 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	1.8521	1.4544	1.2126	1.0457	0.9218
0.8613	4.6147	2.3034	1.7434	1.4339	1.2283
0.3816	2.7772	1.9142	1.5209	1.2779	1.1082
0.4204	2.8801	1.9524	1.5444	1.2948	1.1215
0.0935	1.9231	1.4971	1.2432	1.0695	0.9413
0.9264	5.2819	2.3483	1.7667	1.4495	1.2401
0.5284	3.1789	2.0498	1.6027	1.3364	1.1538
0.6094	3.4271	2.1166	1.6413	1.3635	1.1747
0.7484	3.9564	2.2228	1.7004	1.4045	1.2060
0.9964	8.3399	2.3955	1.7906	1.4655	1.2522
0.4339	2.9162	1.9652	1.5522	1.3004	1.1258
0.5091	3.1233	2.0332	1.5929	1.3294	1.1484
0.6839	3.6883	2.1746	1.6739	1.3863	1.1921
0.7206	3.8347	2.2023	1.6892	1.3968	1.2002
0.6002	3.3974	2.1093	1.6371	1.3606	1.1724

\({U}_{N}\)	\({I}_{N}\)
\({U}_{N}\)	0.5	0.6	0.7	0.8	0.9
0.0773	0.8257	0.7485	0.6851	0.6318	0.5865
0.8613	1.0790	0.9645	0.8733	0.7986	0.7363
0.3816	0.9813	0.8822	0.8022	0.7360	0.6804
0.4204	0.9922	0.8914	0.8102	0.7431	0.6867
0.0935	0.8422	0.7628	0.6977	0.6431	0.5967
0.9264	1.0885	0.9724	0.8801	0.8046	0.7416
0.5284	1.0186	0.9137	0.8295	0.7602	0.7020
0.6094	1.0357	0.9281	0.8419	0.7711	0.7118
0.7484	1.0611	0.9494	0.8603	0.7873	0.7262
0.9964	1.0981	0.9804	0.8870	0.8106	0.7469
0.4339	0.9958	0.8944	0.8128	0.7454	0.6888
0.5091	1.0143	0.9100	0.8263	0.7574	0.6995
0.6839	1.0498	0.9400	0.8522	0.7801	0.7198
0.7206	1.0563	0.9454	0.8569	0.7843	0.7235
0.6002	1.0338	0.9266	0.8406	0.7700	0.7107

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