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Table 1 Univariate case: required weight w ∗ for unbiased convex bootstrap estimation

From: Unbiased bootstrap error estimation for linear discriminant analysis

 

n=10

n=20

n=30

n=40

n=50

n=60

n=70

n=80

n=90

n=100

ε∗=0.025

0.724

0.687

0.679

0.675

0.674

0.672

0.671

0.671

0.670

0.670

ε∗=0.050

0.736

0.696

0.685

0.680

0.678

0.676

0.674

0.673

0.672

0.672

ε∗=0.075

0.738

0.701

0.689

0.683

0.679

0.677

0.676

0.674

0.674

0.673

ε∗=0.100

0.729

0.704

0.691

0.684

0.681

0.678

0.677

0.675

0.674

0.673

ε∗=0.125

0.708

0.701

0.692

0.686

0.682

0.679

0.677

0.676

0.675

0.674

ε∗=0.150

0.681

0.692

0.693

0.687

0.683

0.680

0.678

0.677

0.676

0.675

ε∗=0.175

0.646

0.670

0.688

0.687

0.683

0.680

0.678

0.677

0.676

0.675

ε∗=0.200

0.625

0.631

0.673

0.683

0.683

0.681

0.679

0.677

0.676

0.675

ε∗=0.225

0.614

0.574

0.639

0.671

0.679

0.680

0.679

0.677

0.676

0.675

ε∗=0.250

0.617

0.516

0.579

0.635

0.663

0.673

0.676

0.677

0.676

0.675

ε∗=0.275

0.641

0.470

0.498

0.563

0.617

0.648

0.664

0.671

0.673

0.674

ε∗=0.300

0.676

0.459

0.425

0.464

0.523

0.577

0.616

0.641

0.656

0.665

ε∗=0.325

0.724

0.487

0.393

0.379

0.405

0.451

0.502

0.548

0.587

0.614

ε∗=0.350

0.780

0.549

0.422

0.356

0.331

0.334

0.356

0.389

0.428

0.469

ε∗=0.375

0.837

0.639

0.505

0.412

0.350

0.310

0.288

0.280

0.282

0.295

ε∗=0.400

0.890

0.741

0.626

0.533

0.458

0.398

0.350

0.312

0.283

0.261

ε∗=0.425

0.935

0.842

0.761

0.690

0.627

0.570

0.519

0.474

0.434

0.399

ε∗=0.450

0.971

0.925

0.884

0.845

0.808

0.772

0.739

0.707

0.676

0.647

 

n =110

n =120

n =130

n =140

n =150

n =160

n =170

n =180

n =190

n =200

ε∗=0.025

0.669

0.669

0.669

0.669

0.669

0.669

0.669

0.668

0.668

0.668

ε∗=0.050

0.671

0.671

0.671

0.671

0.670

0.670

0.670

0.669

0.670

0.669

ε∗=0.075

0.672

0.672

0.671

0.671

0.671

0.671

0.670

0.670

0.670

0.670

ε∗=0.100

0.673

0.672

0.672

0.671

0.671

0.671

0.671

0.670

0.670

0.670

ε∗=0.125

0.673

0.673

0.672

0.672

0.672

0.671

0.671

0.671

0.670

0.670

ε∗=0.150

0.674

0.673

0.673

0.672

0.672

0.672

0.671

0.671

0.671

0.671

ε∗=0.175

0.674

0.673

0.673

0.672

0.672

0.672

0.672

0.671

0.671

0.671

ε∗=0.200

0.674

0.673

0.673

0.673

0.672

0.672

0.672

0.671

0.671

0.671

ε∗=0.225

0.675

0.674

0.673

0.672

0.672

0.672

0.672

0.672

0.671

0.671

ε∗=0.250

0.675

0.674

0.673

0.673

0.672

0.672

0.672

0.672

0.671

0.671

ε∗=0.275

0.674

0.674

0.673

0.673

0.673

0.673

0.672

0.671

0.671

0.671

ε∗=0.300

0.669

0.671

0.672

0.672

0.672

0.672

0.672

0.672

0.672

0.672

ε∗=0.325

0.635

0.648

0.657

0.663

0.666

0.668

0.669

0.670

0.671

0.671

ε∗=0.350

0.508

0.543

0.572

0.597

0.615

0.630

0.642

0.649

0.655

0.660

ε∗=0.375

0.313

0.337

0.365

0.394

0.425

0.455

0.484

0.511

0.536

0.557

ε∗=0.400

0.245

0.234

0.229

0.228

0.229

0.235

0.243

0.254

0.268

0.283

ε∗=0.425

0.367

0.338

0.313

0.290

0.270

0.253

0.238

0.224

0.213

0.203

ε∗=0.450

0.620

0.594

0.569

0.545

0.522

0.501

0.480

0.461

0.442

0.424