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Table 5 Performance of tolerance intervals based on Laplace distribution when the true distribution is Laplace (F=G: Laplace)

From: Tolerance intervals in statistical software and robustness under model misspecification

  

n = 10

n = 25

n = 50

n = 100

n = 10

n = 25

n = 50

n = 100

  

ρ= 0.9

   

ρ= 0.95

   

α = 0.01

\(\hat {\alpha }\)

0.0001

0.0009

0.0017

0.0022

0.0001

0.0010

0.0021

0.0025

 

\(\hat {\rho }\)

0.9995

0.9867

0.9706

0.9543

0.9999

0.9957

0.9890

0.9811

 

\(\hat {s}\)

0.0024

0.0128

0.0151

0.0145

0.0009

0.0057

0.0074

0.0078

α= 0.05

\(\hat {\alpha }\)

0.0089

0.0158

0.0153

0.0174

0.0090

0.0172

0.0175

0.0191

 

\(\hat {\rho }\)

0.9887

0.9698

0.9552

0.9418

0.9958

0.9881

0.9813

0.9744

 

\(\hat {s}\)

0.0199

0.0227

0.0200

0.0170

0.0102

0.0119

0.0110

0.0097

α= 0.1

\(\hat {\alpha }\)

0.0409

0.0436

0.0398

0.0423

0.0414

0.0459

0.0427

0.0470

 

\(\hat {\rho }\)

0.9753

0.9586

0.9463

0.9350

0.9896

0.9825

0.9765

0.9706

 

\(\hat {s}\)

0.0332

0.0279

0.0225

0.0183

0.0189

0.0156

0.0129

0.0107

α= 0.2

\(\hat {\alpha }\)

0.1219

0.1050

0.0911

0.0985

0.1225

0.1081

0.0952

0.1047

 

\(\hat {\rho }\)

0.9538

0.9440

0.9353

0.9268

0.9781

0.9745

0.9703

0.9658

 

\(\hat {s}\)

0.0492

0.0338

0.0253

0.0196

0.0307

0.0202

0.0152

0.0119

  

ρ = 0.99

   

ρ = 0.995

   

α = 0.01

\(\hat {\alpha }\)

0.0001

0.0011

0.0022

0.0029

0.0001

0.0011

0.0023

0.0030

 

\(\hat {\rho }\)

1.0000

0.9996

0.9988

0.9975

1.0000

0.9999

0.9995

0.9990

 

\(\hat {s}\)

0.0002

0.0009

0.0013

0.0016

0.0001

0.0004

0.0006

0.0008

α = 0.05

\(\hat {\alpha }\)

0.0094

0.0178

0.0182

0.0212

0.0094

0.0178

0.0182

0.0221

 

\(\hat {\rho }\)

0.9995

0.9985

0.9974

0.9961

0.9997

0.9993

0.9989

0.9983

 

\(\hat {s}\)

0.0027

0.0026

0.0025

0.0023

0.0016

0.0014

0.0013

0.0012

α = 0.1

\(\hat {\alpha }\)

0.0420

0.0471

0.0447

0.0500

0.0423

0.0473

0.0448

0.0512

 

\(\hat {\rho }\)

0.9982

0.9974

0.9964

0.9952

0.9991

0.9988

0.9984

0.9978

 

\(\hat {s}\)

0.0058

0.0039

0.0032

0.0027

0.0037

0.0022

0.0017

0.0015

α = 0.2

\(\hat {\alpha }\)

0.1222

0.1113

0.0994

0.1091

0.1218

0.1120

0.1003

0.1101

 

\(\hat {\rho }\)

0.9954

0.9955

0.9950

0.9941

0.9975

0.9978

0.9976

0.9972

 

\(\hat {s}\)

0.0109

0.0058

0.0041

0.0032

0.0073

0.0034

0.0023

0.0018