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Journal of Big Data

Table 10 Maximum Random variate when \(\alpha =2\), \(\beta =1\) and \(n\) = 15

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

\({U}_{N}\)

\({I}_{N}\)

0

0.1

0.2

0.3

0.4

0.0773

3.7043

2.9088

2.4252

2.0913

1.8437

0.8613

9.2293

4.6069

3.4868

2.8677

2.4566

0.3816

5.5544

3.8283

3.0419

2.5558

2.2164

0.4204

5.7602

3.9048

3.0888

2.5896

2.2429

0.0935

3.8462

2.9942

2.4864

2.1389

1.8827

0.9264

10.5638

4.6966

3.5333

2.8991

2.4803

0.5284

6.3578

4.0997

3.2053

2.6728

2.3075

0.6094

6.8541

4.2332

3.2825

2.7271

2.3494

0.7484

7.9128

4.4457

3.4008

2.8090

2.4121

0.9964

16.6798

4.7910

3.5811

2.9311

2.5043

0.4339

5.8323

3.9304

3.1044

2.6009

2.2516

0.5091

6.2467

4.0664

3.1857

2.6589

2.2968

0.6839

7.3766

4.3493

3.3478

2.7725

2.3842

0.7206

7.6693

4.4045

3.3783

2.7936

2.4003

0.6002

6.7949

4.2185

3.2741

2.7212

2.3449

\({U}_{N}\)

\({I}_{N}\)

0.5

0.6

0.7

0.8

0.9

0.0773

1.6514

1.4971

1.3701

1.2637

1.1730

0.8613

2.1580

1.9289

1.7465

1.5972

1.4725

0.3816

1.9627

1.7643

1.6043

1.4721

1.3608

0.4204

1.9844

1.7828

1.6203

1.4862

1.3734

0.0935

1.6844

1.5257

1.3954

1.2863

1.1935

0.9264

2.1770

1.9448

1.7601

1.6092

1.4832

0.5284

2.0373

1.8275

1.6591

1.5204

1.4040

0.6094

2.0713

1.8562

1.6839

1.5423

1.4235

0.7484

2.1221

1.8989

1.7207

1.5746

1.4524

0.9964

2.1963

1.9609

1.7739

1.6213

1.4939

0.4339

1.9916

1.7889

1.6256

1.4909

1.3776

0.5091

2.0285

1.8201

1.6527

1.5148

1.3989

0.6839

2.0996

1.8800

1.7044

1.5603

1.4396

0.7206

2.1126

1.8909

1.7138

1.5686

1.4470

0.6002

2.0677

1.8531

1.6812

1.5399

1.4214

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