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Table 2 Bivariate 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

0.664

0.667

0.679

0.685

0.690

0.693

0.695

0.697

0.698

0.699

ε∗=0.050

0.666

0.637

0.638

0.639

0.641

0.642

0.642

0.643

0.644

0.644

ε∗=0.075

0.670

0.617

0.610

0.608

0.606

0.606

0.605

0.605

0.605

0.605

ε∗=0.100

0.675

0.604

0.590

0.584

0.581

0.578

0.577

0.576

0.575

0.574

ε∗=0.125

0.682

0.594

0.573

0.564

0.559

0.555

0.553

0.551

0.550

0.548

ε∗=0.150

0.691

0.588

0.560

0.547

0.539

0.534

0.530

0.528

0.526

0.524

ε∗=0.175

0.699

0.586

0.554

0.539

0.530

0.524

0.520

0.517

0.515

0.513

ε∗=0.200

0.718

0.586

0.544

0.524

0.512

0.504

0.498

0.493

0.490

0.487

ε∗=0.225

0.738

0.592

0.542

0.517

0.502

0.492

0.485

0.479

0.475

0.471

ε∗=0.250

0.759

0.603

0.545

0.515

0.497

0.485

0.476

0.469

0.464

0.460

ε∗=0.275

0.784

0.620

0.553

0.518

0.497

0.482

0.471

0.463

0.457

0.452

ε∗=0.300

0.815

0.647

0.572

0.530

0.503

0.485

0.472

0.462

0.454

0.448

ε∗=0.325

0.847

0.681

0.598

0.550

0.518

0.496

0.480

0.468

0.458

0.450

ε∗=0.350

0.882

0.728

0.639

0.584

0.546

0.520

0.500

0.484

0.472

0.462

ε∗=0.375

0.915

0.784

0.695

0.635

0.592

0.560

0.535

0.516

0.500

0.487

ε∗=0.400

0.943

0.842

0.763

0.702

0.655

0.619

0.590

0.566

0.546

0.530

ε∗=0.425

0.971

0.914

0.859

0.811

0.769

0.732

0.701

0.673

0.650

0.629

ε∗=0.450

0.987

0.960

0.933

0.905

0.879

0.853

0.830

0.807

0.786

0.766

 

n =110

n =120

n =130

n =140

n =150

n =160

n =170

n =180

n =190

n =200

ε∗=0.025

0.700

0.701

0.701

0.702

0.702

0.703

0.703

0.704

0.704

0.704

ε∗=0.050

0.644

0.645

0.645

0.645

0.645

0.645

0.645

0.646

0.646

0.646

ε∗=0.075

0.604

0.604

0.604

0.604

0.604

0.604

0.604

0.604

0.604

0.604

ε∗=0.100

0.574

0.573

0.573

0.573

0.573

0.572

0.572

0.572

0.572

0.572

ε∗=0.125

0.548

0.547

0.546

0.546

0.545

0.545

0.544

0.544

0.544

0.543

ε∗=0.150

0.523

0.522

0.521

0.520

0.519

0.518

0.518

0.517

0.517

0.517

ε∗=0.175

0.511

0.510

0.509

0.508

0.507

0.506

0.506

0.505

0.505

0.504

ε∗=0.200

0.485

0.483

0.482

0.480

0.479

0.478

0.477

0.477

0.476

0.475

ε∗=0.225

0.469

0.466

0.464

0.463

0.461

0.460

0.459

0.458

0.457

0.456

ε∗=0.250

0.457

0.454

0.452

0.449

0.448

0.446

0.445

0.443

0.442

0.441

ε∗=0.275

0.448

0.444

0.442

0.439

0.437

0.435

0.433

0.432

0.430

0.429

ε∗=0.300

0.443

0.438

0.435

0.432

0.429

0.426

0.424

0.422

0.420

0.419

ε∗=0.325

0.444

0.439

0.434

0.430

0.426

0.423

0.421

0.418

0.416

0.414

ε∗=0.350

0.454

0.447

0.441

0.435

0.431

0.427

0.423

0.420

0.417

0.415

ε∗=0.375

0.476

0.467

0.459

0.452

0.446

0.441

0.436

0.432

0.428

0.424

ε∗=0.400

0.516

0.504

0.493

0.484

0.476

0.469

0.462

0.457

0.451

0.447

ε∗=0.425

0.611

0.594

0.580

0.567

0.555

0.544

0.535

0.526

0.518

0.511

ε∗=0.450

0.748

0.731

0.715

0.700

0.687

0.674

0.662

0.650

0.640

0.630