Applied multivariate statistical analysis:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin ; Heidelberg
Springer
[2015]
|
| Edition: | Fourth Edition |
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | xiii, 580 Seiten Illustrationen, Diagramme |
| ISBN: | 9783662451700 3662451700 |
Staff View
MARC
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| 250 | |a Fourth Edition | ||
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CONTENTS
PART I DESCRIPTIVE TECHNIQUES
1 COMPARISON OF BATCHES 3
1.1 BOXPLOTS 4
1.2 HISTOGRAMS 11
1.3 KERNEL DENSITIES 15
1.4 SCATTERPLOTS 19
1.5 CHERNOFF-FLURY FACES 22
1.6 ANDREWS' CURVES 29
1.7 PARALLEL COORDINATES PLOTS 32
1.8 HEXAGON PLOTS 37
1.9 BOSTON HOUSING 40
1.10 EXERCISES 48
PART II MULTIVARIATE RANDOM VARIABLES
2 A SHORT EXCURSION INTO MATRIX ALGEBRA 53
2.1 ELEMENTARY OPERATIONS 53
2.2 SPECTRAL DECOMPOSITIONS 60
2.3 QUADRATIC FORMS 62
2.4 DERIVATIVES 65
2.5 PARTITIONED MATRICES 66
2.6 GEOMETRICAL ASPECTS 68
2.7 EXERCISES 76
3 MOVING TO HIGHER DIMENSIONS 79
3.1 COVARIANCE 80
3.2 CORRELATION 84
3.3 SUMMARY STATISTICS 89
3.4 LINEAR MODEL FOR TWO VARIABLES 93
3.5 SIMPLE ANALYSIS OF VARIANCE 100
IX
HTTP://D-NB.INFO/1058262475
X CONTENTS
3.6 MULTIPLE LINEAR MODEL 105
3.7 BOSTON HOUSING 110
3.8 EXERCISES 113
4 MULTIVARIATE DISTRIBUTIONS 117
4.1 DISTRIBUTION AND DENSITY FUNCTION 118
4.2 MOMENTS AND CHARACTERISTIC FUNCTIONS 123
4.3 TRANSFORMATIONS 135
4.4 THE MULTINOMIAL DISTRIBUTION 137
4.5 SAMPLING DISTRIBUTIONS AND LIMIT THEOREMS 142
4.6 HEAVY-TAILED DISTRIBUTIONS 149
4.7 COPULAE 166
4.8 BOOTSTRAP 176
4.9 EXERCISES 179
5 THEORY OF THE MULTINORMAI 183
5.1 ELEMENTARY PROPERTIES OF THE MULTINORMAI 183
5.2 THE WISHART DISTRIBUTION 191
5.3 HOTELLING'S ^-DISTRIBUTION 193
5.4 SPHERICAL AND ELLIPTICAL DISTRIBUTIONS 195
5.5 EXERCISES 197
6 THEORY OF ESTIMATION 201
6.1 THE LIKELIHOOD FUNCTION 202
6.2 THE CRAMER-RAO LOWER BOUND 206
6.3 EXERCISES 210
7 HYPOTHESIS TESTING 213
7.1 LIKELIHOOD RATIO TEST 214
7.2 LINEAR HYPOTHESIS 224
7.3 BOSTON HOUSING 242
7.4 EXERCISES ^ 246
PART HI MULTIVARIATE TECHNIQUES
8 REGRESSION MODELS 253
8.1 GENERAL ANOVA AND ANCOVA MODELS 255
8.1.1 ANOVA MODELS 255
8.1.2 ANCOVA MODELS 260
8.1.3 BOSTON HOUSING 262
8.2 CATEGORICAL RESPONSES 263
8.2.1 MULTINOMIAL SAMPLING AND CONTINGENCY TABLES 263
8.2.2 LOG-LINEAR MODELS FOR CONTINGENCY TABLES 264
8.2.3 TESTING ISSUES WITH COUNT DATA 268
8.2.4 LOGIT MODELS 271
8.3 EXERCISES 279
CONTENTS XI
9 VARIABLE SELECTION 281
9.1 LASSO 282
9.1.1 LASSO IN THE LINEAR REGRESSION MODEL 282
9.1.2 LASSO IN HIGH DIMENSIONS 292
9.1.3 LASSO IN LOGIT MODEL 293
9.2 ELASTIC NET 297
9.2.1 ELASTIC NET IN LINEAR REGRESSION MODEL 298
9.2.2 ELASTIC NET IN LOGIT MODEL 299
9.3 GROUP LASSO 300
9.4 EXERCISES 304
10 DECOMPOSITION OF DATA MATRICES BY FACTORS 305
10.1 THE GEOMETRIC POINT OF VIEW 306
10.2 FITTING THE P-DIMENSIONAL POINT CLOUD 307
10.3 FITTING THE ^-DIMENSIONAL POINT CLOUD 310
10.4 RELATIONS BETWEEN SUBSPACES 312
10.5 PRACTICAL COMPUTATION 314
10.6 EXERCISES 317
11 PRINCIPAL COMPONENTS ANALYSIS 319
11.1 STANDARDISED LINEAR COMBINATION 320
11.2 PRINCIPAL COMPONENTS IN PRACTICE 324
11.3 INTERPRETATION OF THE PCS 327
11.4 ASYMPTOTIC PROPERTIES OF THE PCS 331
11.5 NORMALISED PRINCIPAL COMPONENTS ANALYSIS 335
11.6 PRINCIPAL COMPONENTS AS A FACTORIAL METHOD 336
11.7 COMMON PRINCIPAL COMPONENTS 342
11.8 BOSTON HOUSING 346
11.9 MORE EXAMPLES 348
11.10 EXERCISES I? 357
12 FACTOR ANALYSIS 359
12.1 THE ORTHOGONAL FACTOR MODEL 360
12.2 ESTIMATION OF THE FACTOR MODEL 367
12.3 FACTOR SCORES AND STRATEGIES 376
12.4 BOSTON HOUSING 378
12.5 EXERCISES 382
13 CLUSTER ANALYSIS 385
13.1 THE PROBLEM 386
13.2 THE PROXIMITY BETWEEN OBJECTS 387
13.3 CLUSTER ALGORITHMS 392
13.4 BOSTON HOUSING 400
13.5 EXERCISES 404
XII CONTENTS
14 DISCRIMINANT ANALYSIS 407
14.1 ALLOCATION RULES FOR KNOWN DISTRIBUTIONS 407
14.2 DISCRIMINATION RULES IN PRACTICE 415
14.3 BOSTON HOUSING 421
14.4 EXERCISES 423
15 CORRESPONDENCE ANALYSIS 425
15.1 MOTIVATION 426
15.2 CHI-SQUARE DECOMPOSITION 428
15.3 CORRESPONDENCE ANALYSIS IN PRACTICE 432
15.4 EXERCISES. 441
16 CANONICAL CORRELATION ANALYSIS 443
16.1 MOST INTERESTING LINEAR COMBINATION 443
16.2 CANONICAL CORRELATION IN PRACTICE 448
16.3 EXERCISES 454
17 MULTIDIMENSIONAL SCALING 455
17.1 THE PROBLEM 455
17.2 METRIC MDS 460
17.3 NONMETRICMDS 465
17.4 EXERCISES 472
18 CONJOINT MEASUREMENT ANALYSIS 473
18.1 INTRODUCTION 473
18.2 DESIGN OF DATA GENERATION 475
18.3 ESTIMATION OF PREFERENCE^ORDERINGS 478
18.4 EXERCISES 485
19 APPLICATIONS IN FINANCE 487
19.1 PORTFOLIO CHOICE 487
19.2 EFFICIENT PORTFOLIO 488
19.3 EFFICIENT PORTFOLIOS IN PRACTICE 496
19.4 THE CAPITAL ASSET PRICING MODEL 497
19.5 EXERCISES 499
20 COMPUTATIONALLY INTENSIVE TECHNIQUES 501
20.1 SIMPLICIAL DEPTH 502
20.2 PROJECTION PURSUIT 505
20.3 SLICED INVERSE REGRESSION 511
20.4 SUPPORT VECTOR MACHINES 519
20.5 CLASSIFICATION AND REGRESSION TREES 534
20.6 BOSTON HOUSING 552
20.7 EXERCISES 554
CONTENTS XIII
PART
IV
APPENDIX
21 SYMBOLS AND NOTATIONS 557
22 DATA 561
22.1 BOSTON HOUSING DATA 561
22.2 SWISS BANK NOTES 562
22.3 CAR DATA 562
22.4 CLASSIC BLUE PULLOVERS DATA 563
22.5 US COMPANIES DATA 563
22.6 FRENCH FOOD DATA 563
22.7 CAR MARKS 564
22.8 FRENCH BACCALAUR6AT FREQUENCIES 564
22.9 JOURNAUX DATA 564
22.10 US CRIME DATA 565
22.11 PLASMADATA 566
22.12 WAIS DATA 566
22.13 ANOVADATA 567
22.14 TIMEBUDGET DATA 567
22.15 GEOPOL DATA 568
22.16 US HEALTH DATA 569
22.17 VOCABULARY DATA 570
22.18 ATHLETIC RECORDS DATA 570
22.19 UNEMPLOYMENT DATA 570
22.20 ANNUAL POPULATION DATA 570
22.21 BANKRUPTCY DATA 1 571
22.22 BANKRUPTCY DATA II 571
REFERENCES 573
INDEX 577 |
| any_adam_object | 1 |
| author | Härdle, Wolfgang 1953- Simar, Léopold |
| author_GND | (DE-588)110357116 (DE-588)123344107 |
| author_facet | Härdle, Wolfgang 1953- Simar, Léopold |
| author_role | aut aut |
| author_sort | Härdle, Wolfgang 1953- |
| author_variant | w h wh l s ls |
| building | Verbundindex |
| bvnumber | BV042441977 |
| classification_rvk | QH 234 SK 830 |
| ctrlnum | (OCoLC)890938827 (DE-599)DNB1058262475 |
| dewey-full | 519.535 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.535 |
| dewey-search | 519.535 |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| edition | Fourth Edition |
| format | Book |
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| genre_facet | Lehrbuch |
| id | DE-604.BV042441977 |
| illustrated | Illustrated |
| indexdate | 2025-02-20T06:42:11Z |
| institution | BVB |
| isbn | 9783662451700 3662451700 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027877255 |
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| physical | xiii, 580 Seiten Illustrationen, Diagramme |
| publishDate | 2015 |
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| publisher | Springer |
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| spellingShingle | Härdle, Wolfgang 1953- Simar, Léopold Applied multivariate statistical analysis Wirtschaftstheorie (DE-588)4079351-5 gnd Multivariate Analyse (DE-588)4040708-1 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4079351-5 (DE-588)4040708-1 (DE-588)4056995-0 (DE-588)4123623-3 |
| title | Applied multivariate statistical analysis |
| title_auth | Applied multivariate statistical analysis |
| title_exact_search | Applied multivariate statistical analysis |
| title_full | Applied multivariate statistical analysis Wolfgang Karl Härdle ; Léopold Simar |
| title_fullStr | Applied multivariate statistical analysis Wolfgang Karl Härdle ; Léopold Simar |
| title_full_unstemmed | Applied multivariate statistical analysis Wolfgang Karl Härdle ; Léopold Simar |
| title_short | Applied multivariate statistical analysis |
| title_sort | applied multivariate statistical analysis |
| topic | Wirtschaftstheorie (DE-588)4079351-5 gnd Multivariate Analyse (DE-588)4040708-1 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Wirtschaftstheorie Multivariate Analyse Statistik Lehrbuch |
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Description
THWS Schweinfurt Zentralbibliothek Lesesaal
| Call Number: |
2000 QH 234 H136(4) |
|---|---|
| Copy 1 | ausleihbar Available Place a Hold |