Permutation statistical methods : an integrated approach|RISS 상세보기

목차 (Table of Contents)

CONTENTS
1 Introduction = 1
1.1 Models of Statistical Inference = 2
1.2 Permutation Statistical Tests = 3
1.2.1 Exact Permutation Tests = 4

CONTENTS
1 Introduction = 1
1.1 Models of Statistical Inference = 2
1.2 Permutation Statistical Tests = 3
1.2.1 Exact Permutation Tests = 4
1.2.2 Moment-Approximation Permutation Tests = 11
1.2.3 Resampling-Approximation Permutation Tests = 13
1.2.4 Mehta-Patel Network Algorithm = 14
1.3 Permutation and Parametric Statistical Tests = 15
1.3.1 Permutation Tests and Normality = 15
1.3.2 Mathematical Recursion = 17
1.3.3 Calculation with an Arbitrary Initial Value = 20
1.3.4 Variable Portion of a Test Statistic = 21
1.4 Overviews of Chaps. 2-11 = 23
1.4.1 Chapter 2 : Completely Randomized Data = 23
1.4.2 Chapter 3 : Randomized Interval-Level Data = 24
1.4.3 Chapter 4 : Regression Analysis of Interval Data = 24
1.4.4 Chapter 5 : Randomized Ordinal-Level Data - Ⅰ = 24
1.4.5 Chapter 6 : Randomized Ordinal-Level Data - Ⅱ = 25
1.4.6 Chapter 7 : Randomized Nominal-Level Data = 25
1.4.7 Chapter 8 : Randomized Block Data = 25
1.4.8 Chapter 9 : Blocked Interval-Level Data = 26
1.4.9 Chapter 10 : Blocked Ordinal-Level Data = 26
1.4.10 Chapter 11 : Blocked Nominal-Level Data = 26
1.5 Coda = 26
2 Completely Randomized Data = 29
2.1 Minkowski Distance Function = 29
2.2 Multi-response Permutation Procedures = 31
2.2.1 Chance-Corrected Agreement Measures = 38
2.2.2 Example Univariate MRPP Analysis with υ＝2 = 39
2.2.3 Example Univariate MRPP Analysis with υ＝1 = 42
2.2.4 Example Bivariate MRPP Analysis with υ＝2 = 45
2.2.5 Example Bivariate MRPP Analysis with υ＝1 = 51
2.3 Coda = 53
3 Randomized Designs : Interval Data = 57
3.1 Permutation Analogue of Student's t Test = 60
3.2 Measures of Effect Size = 61
3.2.1 Cohen's d = 64
3.2.2 Hedges' g = 65
3.2.3 Pearson's r² = 67
3.2.4 Kelley's ε² = 67
3.2.5 Hays' ω² = 67
3.2.6 Mielke and Berry's K = 68
3.2.7 Biased Estimators = 72
3.3 Example Univariate MRPP Analyses with g＝2 = 73
3.3.1 Example 1 = 73
3.3.2 Example 2 = 77
3.3.3 Example 3 = 79
3.4 Permutation Analogue of Hotelling's T²Test = 80
3.5 Example Bivariate MRPP Analyses with g＝2 = 82
3.5.1 Example 1 = 82
3.5.2 Example 2 = 86
3.5.3 Example 3 = 88
3.6 Permutation Analogue of One-Way ANOVA = 89
3.6.1 Computing Efficiency = 91
3.7 Example Univariate MRPP Analyses with g＝4 = 92
3.7.1 Example 1 = 92
3.7.2 Example 2 = 99
3.7.3 Example 3 = 102
3.8 Permutation Analogue of One-Way MANOVA = 104
3.9 Example Bivariate MRPP Analyses with g＝3 = 105
3.9.1 Example 1 = 105
3.9.2 Example 2 = 110
3.9.3 Example 3 = 111
3.10 Coda = 112
4 Regression Analysis of Interval Data = 115
4.1 LAD Linear Regression = 115
4.1.1 Linear Regression and Agreement = 118
4.2 Example LAD Regression Analyses = 120
4.2.1 Example Analysis 1 = 120
4.2.2 Example Analysis 2 = 121
4.2.3 Example Analysis 3 = 123
4.3 LAD Regression and Analysis of Variance Designs = 123
4.3.1 One-Way Randomized Design = 124
4.3.2 One-Way Randomized Design with a Covariate = 131
4.3.3 One-Way Randomized-Block Design = 136
4.3.4 Two-Way Randomized-Block Design = 143
4.3.5 Two-Way Factorial Design = 156
4.3.6 Latin Square Design = 170
4.3.7 Split-Plot Design = 179
4.3.8 Nested Design = 196
4.4 Multivariate Multiple Regression Designs = 207
4.4.1 Example Analysis = 209
4.5 Coda = 214
5 Randomized Designs : Ordinal Data, Ⅰ = 217
5.1 Introduction = 217
5.2 Rank-Order Statistics = 219
5.3 Two-Sample Rank-Sum Tests = 221
5.4 Example Analyses = 223
5.4.1 Example 1 = 223
5.4.2 Example 2 = 227
5.4.3 Example 3 = 228
5.5 MRPP and the Kruskal - Wallis Rank-Sum Test = 229
5.6 Example Analyses = 230
5.6.1 Example 1 = 230
5.6.2 Example 2 = 234
5.6.3 Example 3 = 235
5.7 Three Two-Sample Classes of Rank Tests = 236
5.8 MRPP and Two-Sample Power-of-Rank Functions = 237
5.9 Example ANs Analyses with s＝1 = 238
5.9.1 Example 1 = 239
5.9.2 Example 2 = 243
5.9.3 Example 3 = 244
5.10 Example ANs Analyses with s＝2 = 246
5.10.1 Example 1 = 246
5.10.2 Example 2 = 251
5.10.3 Example 3 = 252
5.11 Example BNs Analyses with s＝1 = 253
5.11.1 Example 1 = 255
5.11.2 Example 2 = 260
5.11.3 Example 3 = 261
5.12 Example BNs Analyses with s＝2 = 262
5.12.1 Example 1 = 263
5.12.2 Example 2 = 267
5.12.3 Example 3 = 269
5.13 Example CNs Analyses with s＝0 = 270
5.13.1 Example 1 = 270
5.13.2 Example 2 = 275
5.13.3 Example 3 = 276
5.14 Example CNs Analyses with s＝1 = 278
5.14.1 Example 1 = 278
5.14.2 Example 2 = 282
5.14.3 Example 3 = 284
5.15 Example CNs Analyses with s＝2 = 285
5.15.1 Example 1 = 285
5.15.2 Example 2 = 288
5.15.3 Example 3 = 289
5.16 MRPP and Kendall's S Statistic = 291
5.17 Example Analyses = 295
5.17.1 Example 1 = 295
5.17.2 Example 2 = 300
5.17.3 Example 3 = 301
5.18 MRPP and Cureton's Rank-Biserial Correlation = 302
5.18.1 Example 1 = 304
5.18.2 Example 2 = 311
5.18.3 Example 3 = 313
5.19 Coda = 314
6 Randomized Designs : Ordinal Data,Ⅱ = 315
6.1 Introduction = 315
6.2 MRPP with r＝2 and g＝2 = 319
6.3 MRPP for the WMW Rank-Sum Test with r＝2 = 324
6.3.1 Example 1 = 324
6.3.2 Example 2 = 327
6.3.3 Example 3 = 328
6.4 MRPP for the KW Rank-Sum Test with r＝2 = 329
6.4.1 Example 1 = 329
6.4.2 Example 2 = 332
6.4.3 Example 3 = 333
6.5 MRPP for the ANs Function with s＝1 = 334
6.5.1 Example 1 = 334
6.5.2 Example 2 = 337
6.5.3 Example 3 = 338
6.6 MRPP for the ANs Function with s＝2 = 339
6.6.1 Example 1 = 339
6.6.2 Example 2 = 341
6.6.3 Example 3 = 342
6.7 MRPP for the BNs Function with s＝1 = 343
6.7.1 Example 1 = 343
6.7.2 Example 2 = 345
6.7.3 Example 3 = 346
6.8 MRPP for the BNs Function with s＝2 = 346
6.8.1 Example 1 = 346
6.8.2 Example 2 = 348
6.8.3 Example 3 = 349
6.9 MRPP for the CNs Function with s＝0 = 350
6.9.1 Example 1 = 350
6.9.2 Example 2 = 352
6.9.3 Example 3 = 353
6.10 MRPP for the CNs Function with s＝1 = 353
6.10.1 Example 1 = 354
6.10.2 Example 2 = 355
6.10.3 Example 3 = 356
6.11 MRPP for the CNs Function with s＝2 = 357
6.11.1 Example 1 = 357
6.11.2 Example 2 = 359
6.11.3 Example 3 = 360
6.12 MRPP for Cureton's Rank-Biserial Statistic = 360
6.12.1 Example 1 = 360
6.12.2 Example 2 = 362
6.12.3 Example 3 = 363
6.13 Coda = 364
7 Randomized Designs : Nominal Data = 367
7.1 Introduction = 368
7.2 Goodman and Kruskal's t?and tb Statistics = 370
7.2.1 Goodman and Kruskal's t? and δ = 372
7.2.2 Example Analysis for t? = 374
7.2.3 Example Analysis for tb = 379
7.2.4 Goodman-Kruskal's t?, δ?, and Χ² = 383
7.2.5 Fourfold Contingency Tables = 391
7.2.6 Chi-Squared and δ = 396
7.3 Multiple Binary Choices = 398
7.3.1 Example Analysis 1 = 399
7.3.2 Example Analysis 2 = 401
7.3.3 Example Analysis 3 = 403
7.4 Multivariate Measures of Association = 405
7.4.1 Interval Dependent Variables = 406
7.4.2 Ordinal Dependent Variables = 409
7.4.3 Nominal Dependent Variables = 412
7.4.4 Mixed Dependent Variables = 414
7.5 Relationships Between K and Existing Statistics = 416
7.5.1 Interval-Level Dependent Variable = 417
7.5.2 Ordinal-Level Dependent Variable = 418
7.5.3 Nominal-Level Dependent Variable = 418
7.6 Coda = 419
8 Randomized Block Data = 421
8.1 Multivariate Block Permutation Procedures = 421
8.1.1 Randomized-Block Designs and Alignment = 424
8.1.2 Example Univariate MRBP Analysis with υ＝2 = 425
8.1.3 Example Univariate MRBP Analysis with υ＝1 = 428
8.1.4 Example Bivariate MRBP Analysis with υ＝2 = 431
8.1.5 Example Bivariate MRBP Analysis with υ＝1 = 434
8.2 MRBP and Pearson's Product-Moment Correlation = 437
8.2.1 Example MRBP Correlation Analysis = 438
8.2.2 Permutations of g Response Measurements = 440
8.3 Coda = 443
9 Randomized Block Designs : Interval Data = 445
9.1 Permutation Analogue of Student's t Test = 447
9.1.1 Example 1 : υ＝2 = 448
9.1.2 Example 2 : υ＝1 = 450
9.2 Permutation Analogue of Hotelling's T²Test = 451
9.2.1 Example 1 : υ＝2 = 454
9.2.2 Example 2 : υ＝1 = 456
9.3 Permutation Analogue of ANOVA = 457
9.3.1 Example 1 : υ＝2 = 459
9.3.2 Homogeneity Assumptions = 461
9.3.3 Example 2 : υ＝1 = 464
9.4 Permutation Analogue of MANOVA = 465
9.4.1 Example 1 : υ＝2 = 465
9.4.2 Example 2 : υ＝1 = 466
9.5 MRBP and Pearson's Product-Moment Correlation = 467
9.5.1 Example 1 : υ＝2 = 468
9.5.2 Example 2 : υ＝1 = 469
9.5.3 Example 3 : Permutation Data = 470
9.6 Coda = 472
10 Randomized Block Designs : Ordinal Data = 473
10.1 Introduction = 473
10.2 Wilcoxon Signed-Ranks Test = 475
10.2.1 Example 1 : υ＝2 = 476
10.2.2 Example 2 : υ＝l = 479
10.3 Sign Test = 480
10.3.1 Example Sign Test = 480
10.4 Spearman's Rank-Order Correlation Coefficient = 482
10.4.1 Example : v＝2 = 484
10.5 Spearman's Footrule Agreement Measure = 486
10.5.1 Norming and Tied Rank Scores = 487
10.5.2 Probability of Spearman's Footrule = 490
10.5.3 Example : υ＝1 = 490
10.5.4 Multiple Blocks = 492
10.5.5 Example Analysis = 492
10.6 Friedman's Analysis of Variance for Ranks = 494
10.6.1 Example 1 : υ＝2 = 496
10.6.2 Example 2 : υ＝1 = 500
10.7 MRBP and the Measurement of Agreement = 500
10.7.1 Limitations of Kappa = 502
10.7.2 Cohen's Weighted Kappa = 503
10.7.3 Weighted Kappa Example = 505
10.7.4 Relationship of K and Cohen's Weighted K = 507
10.7.5 Multiple Judges = 513
10.7.6 An Alternative Approach to Multiple Judges = 515
10.8 MRBP and Measures of Ordinal Association = 519
10.8.1 Example 1 = 522
10.8.2 Example 2 = 527
10.8.3 Example 3 = 530
10.8.4 Example 4 = 534
10.9 Selected Measures of Ordinal Association and δ = 537
10.9.1 Kendall's τ? Statistic and δ = 538
10.9.2 Kendall's τb Statistic and δ = 538
10.9.3 Stuart's τc Statistic and δ = 539
10.9.4 Goodman and Kruskal's γ Statistic and δ = 540
10.9.5 Somers' dyx Statistic and δ = 540
10.9.6 Somers' dxy Statistic and δ = 541
10.10 Coda = 541
11 Randomized Block Designs : Nominal Data = 543
11.1 Introduction = 543
11.2 Cohen's Kappa Measure of Agreement = 545
11.2.1 Multiple Judges = 550
11.2.2 An Alternative Approach to Multiple Judges = 552
11.3 McNemar's Q Test and δ = 554
11.3.1 Example Analysis = 555
11.4 Cochran's Q Test and δ = 557
11.4.1 Example Analysis = 558
11.4.2 Multiple Binary Responses = 561
11.5 MRBP and Categorical Fourfold Tables = 564
11.5.1 Kendall's t?Statistic and δ = 567
11.5.2 Yule's Q Statistic and δ = 568
11.5.3 Yule's Y Statistic and δ = 569
11.5.4 The Odds Ratio and δ = 571
11.5.5 Relationships Among Q, Y, and φ = 571
11.5.6 Somers' dxy／dyx and δ = 572
11.6 A Reanalysis of the Data = 574
11.6.1 Pearson's rxy and K = 578
11.6.2 MRBP and Regression Coefficients = 579
11.6.3 MRBP and Percentage Differences = 580
11.6.4 MRBP and Chi-Squared = 583
11.7 Coda = 584
Epilogue = 585
Overview = 585
Permutation Methods = 587
Summary = 588
References = 591
Author Index = 607
Subject Index = 613

서점명	서명	판매현황	종이책			전자책 구매링크
서점명	서명	판매현황	정가	판매가(할인율)	포인트(포인트몰)	전자책 구매링크
	Permutation Statistical Methods: An Integrated Approach	판매중	204,850원	204,850원 (0%)	6,150포인트 (3%)

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