Introductory statistics:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Wiley
1990
|
| Ausgabe: | 5. ed. |
| Schriftenreihe: | Wiley series in probability and mathematical statistics
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Frühere Ausg. u.d.T.: Wonnacott, Ronald J.: Introductory statistics. - Arbeitsbuch u.d.T.: Wonnacott, Thomas H.: Student workbook Introductory statistics for business and economics, fourth edition and Introductory statistics, fifth edition, Thomas H. Wonnacott, Ronald H. Wonnacott Hier auch später erschienene, unveränderte Nachdrucke |
| Beschreibung: | XVI, 711 S. zahlr. graph. Darst. |
| ISBN: | 0471615188 |
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Datensatz im Suchindex
| _version_ | 1804123286678798336 |
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| adam_text | INTRODUCTORY STATISTICS THOMAS H. WONNACOTT UNIVERSITY OF WESTERN
ONTARIO RONALD J. WONNACOTT UNIVERSITY OF WESTERN ONTARIO FIFTH EDITION
WILEY JOHN WILEY & SONS NEW YORK CHICHESTER BRISBANE TORONTO SINGAPORE
CONTENTS PART I BASIC PROBABILITY AND STATISTICS 1 THE NATURE OF
STATISTICS 1-1 RANDOM SAMPLING: A POLITICAL POLL 1-2 RANDOMIZED
EXPERIMENTS: TESTING A HOSPITAL ROUTINE 10 1-3 OBSERVATIONAL STUDIES VS.
RANDOMIZED EXPERIMENTS 14 1-4 BRIEF OUTLINE OF THE BOOK 20 CHAPTER 1
SUMMARY 20 2 DESCRIPTIVE STATISTICS 2-1 FREQUENCY TABLES AND GRAPHS 26
2-2 CENTER OF A DISTRIBUTION 32 2-3 SPREAD OF A DISTRIBUTION 39 2-4
STATISTICS BY COMPUTER 46 2-5 LINEAR TRANSFORMATIONS 47 2-6 CALCULATIONS
USING RELATIVE FREQUENCIES 52 2-7 THE USE AND MISUSE OF GRAPHS 53
CHAPTER 2 SUMMARY 64 3 PROBABILITY 3-1 INTRODUCTION 70 3-2 PROBABILITY
MODELS 73 3-3 COMPOUND EVENTS 79 3-4 CONDITIONAL PROBABILITY 85 3-5
INDEPENDENCE 89 3-6 BAYES THEOREM: TREE REVERSAL 93 3-7 OTHER VIEWS OF
PROBABILITY 99 CHAPTER 3 SUMMARY 103 25 69 4 PROBABILITY DISTRIBUTIONS
4-1 DISCRETE RANDOM VARIABLES 110 4-2 MEAN AND VARIANCE 113 4-3 THE
BINOMIAL DISTRIBUTION 116 4-4 CONTINUOUS DISTRIBUTIONS 124 4-5 THE
NORMAL DISTRIBUTION 127 109 4-6 A FUNCTION OF A RANDOM VARIABLE 134 *4-7
EXPECTED VALUE IN BIDDING 141 CHAPTER 4 SUMMARY 146 5 TWO RANDOM
VARIABLES 153 5-1 DISTRIBUTIONS 154 5-2 A FUNCTION OF TWO RANDOM
VARIABLES 161 5-3 COVARIANCE 164 5-4 LINEAR COMBINATION OF TWO RANDOM
VARIABLES 170 CHAPTER 5 SUMMARY 176 REVIEW PROBLEMS (CHAPTERS 1-5) 182
PART II INFERENCE FOR MEANS AND PROPORTIONS 187 6 SAMPLING 189 6-1
RANDOM SAMPLING 190 6-2 MOMENTS OF THE SAMPLE MEAN 196 6-3 THE SHAPE OF
THE SAMPLING DISTRIBUTION 199 6-4 PROPORTIONS (PERCENTAGES) 207 *6-5
SMALL-POPULATION SAMPLING 215 *6-6 MONTE CARLO 218 CHAPTER 6 SUMMARY 225
7 POINT ESTIMATION 231 7-1 POPULATIONS AND SAMPLES 232 7-2 EFFICIENCY OF
UNBIASED ESTIMATORS 232 7-3 EFFICIENCY OF BIASED AND UNBIASED ESTIMATORS
239 *7-4 CONSISTENT ESTIMATORS 244 CHAPTER 7 SUMMARY 248 XIII XIV
CONTENTS 8 CONFIDENCE INTERVALS 253 8-1 A SINGLE MEAN 254 8-2
SMALL-SAMPLE T 261 8-3 DIFFERENCE IN TWO MEANS, INDEPENDENT SAMPLES 265
8-4 DIFFERENCE IN TWO MEANS, MATCHED SAMPLES 268 8-5 PROPORTIONS 273
*8-6 THE BOOTSTRAP 277 CHAPTER 8 SUMMARY 281 9 HYPOTHESIS TESTING 287
9-1 HYPOTHESIS TESTING USING CONFIDENCE INTERVALS 288 9-2 P-VALUE
(ONE-SIDED) 293 9-3 CLASSICAL HYPOTHESIS TESTS 300 *9-4 CLASSICAL TESTS
RECONSIDERED 306 *9-5 OPERATING CHARACTERISTICS CURVE (OCC) 310 *9-6
TWO-SIDED TESTS 314 CHAPTER 9 SUMMARY 320 10 ANALYSIS OF VARIANCE
(ANOVA) 324 10-1 ONE-WAY ANOVA 325 10-2 TWO-WAY ANOVA 336 10-3
CONFIDENCE INTERVALS 343 CHAPTER 10 SUMMARY 346 REVIEW PROBLEMS
(CHAPTERS 6-10) 350 PART III REGRESSION: RELATING TWO OR MORE VARIABLES
355 11 FITTING A LINE 357 11-1 INTRODUCTION 358 11-2 ORDINARY LEAST
SQUARES (OLS) 360 11-3 ADVANTAGES OF OLS AND WLS 366 CHAPTER 11 SUMMARY
368 12 SIMPLE REGRESSION 371 12-1 THE REGRESSION MODEL 372 12-2 SAMPLING
VARIABILITY 375 12-3 CONFIDENCE INTERVALS AND TESTS FOR P 379 12-4
PREDICTING VAT A GIVEN LEVEL OF X 383 12-5 EXTENDING THE MODEL 389
CHAPTER 12 SUMMARY 390 13 MULTIPLE REGRESSION 396 13-1 WHY MULTIPLE
REGRESSION? 397 13-2 THE REGRESSION MODEL AND ITS OLS FIT 400 13-3
CONFIDENCE INTERVALS AND STATISTICAL TESTS 406 13-4 REGRESSION
COEFFICIENTS AS MULTIPLICATION FACTORS 410 *13-5 SIMPLE AND MULTIPLE
REGRESSION COMPARED 417 *13-6 PATH ANALYSIS 424 CHAPTER 13 SUMMARY 428
14 REGRESSION EXTENSIONS 434 14-1 DUMMY (0-1) VARIABLES 435 14-2
ANALYSIS OF VARIANCE (ANOVA) BY REGRESSION 445 14-3 SIMPLEST NONLINEAR
REGRESSION 449 *14-4 NONLINEARITY REMOVED BY LOGS 452 *14-5 DIAGNOSIS BY
RESIDUAL PLOTS 461 CHAPTER 14 SUMMARY 466 15 CORRELATION 474 15-1 SIMPLE
CORRELATION 475 15-2 CORRELATION AND REGRESSION 15-3 THE TWO REGRESSION
LINES 15-4 CORRELATION IN MULTIPLE REGRESSION 496 15-5 MULTICOLLINEARITY
501 CHAPTER 15 SUMMARY 506 REVIEW PROBLEMS (CHAPTERS 11-15) PART IV
TOPICS IN CLASSICAL AND BAYESIAN INFERENCE 482 489 512 515 CONTENTS XV
16 NONPARAMETRIC AND ROBUST STATISTICS (REQUIRES CHAPTER 9) 517 16-1
INTRODUCTION: MEAN OR MEDIAN? 518 16-2 SIGN TEST FOR THE MEDIAN 518 16-3
CONFIDENCE INTERVAL FOR THE MEDIAN 522 16-4 WILCOXON RANK TEST 525 16-5
RANK TESTS IN GENERAL 528 16-6 RUNS TEST FOR INDEPENDENCE 533 16-7
ROBUST STATISTICS: TRIMMING AND WEIGHTING 536 CHAPTER 16 SUMMARY 545 17
CHI-SQUARE TESTS (REQUIRES CHAPTER 9) 549 17-1 X 2 TESTS FOR
MULTINOMIALS: GOODNESS OF FIT 550 17-2 X 2 TESTS FOR INDEPENDENCE:
CONTINGENCY TABLES 555 CHAPTER 17 SUMMARY 561 *18 MAXIMUM LIKELIHOOD
ESTIMATION (REQUIRES CHAPTER 7) 564 18-1 INTRODUCTION 565 18-2 MLE FOR
SOME FAMILIAR CASES 566 18-3 MLE FOR THE UNIFORM DISTRIBUTION 573 18-4
MLE IN GENERAL 576 CHAPTER 18 SUMMARY 579 *19 BAYESIAN INFERENCE
(REQUIRES CHAPTER 8) 582 19-1 POSTERIOR DISTRIBUTIONS 583 19-2 THE
POPULATION PROPORTION 588 19-3 THE MEAN ^ IN A NORMAL MODEL 598 19-4 THE
SLOPE /3 IN NORMAL REGRESSION 605 19-5 BAYESIAN SHRINKAGE ESTIMATES 608
19-6 CLASSICAL AND BAYESIAN ESTIMATES COMPARED 615 CHAPTER 19 SUMMARY
615 *20 BAYESIAN DECISION THEORY (REQUIRES CHAPTER 19) 20-1 MAXIMIZING
GAIN (OR MINIMIZING LOSS) 621 20-2 POINT ESTIMATION AS A DECISION 627
20-3 CLASSICAL AND BAYESIAN STATISTICS COMPARED 633 CHAPTER 20 SUMMARY
635 * APPENDIXES 2-2 CAREFUL APPROXIMATION OF THE MEDIAN 638 N 2-5
EFFECTS OF A LIRIEAR TRANSFORMATION* PROOFS 638 3-7 PROBABILITY AS
AXIOMATIC MATHEMATICS 638 4-2 EASIER FORMULA FOR O- 2 : PROOF 639 4-3
BINOMIAL FORMULA: PROOF 639 4-4 CALCULUS FOR CONTINUOUS DISTRIBUTIONS
641 5-3 INDEPENDENT IMPLIES UNCORRELATED: PROOF 642 5-4 LINEAR
COMBINATIONS: PROOFS 642 6-3 CENTRAL LIMIT THEOREM 643 6-4 CONTINUITY
CORRECTION: GRAPHICAL EXPLANATION 643 ( 7-2 STANDARD ERROR OF X 643 7-4
CONSISTENCY: CAREFUL DEFINITION 644 _ _ 8-3 STANDARD ERROR OF (X, - X 2
): PROOF 645 8-5 CONFIDENCE INTERVAL FOR W. DERIVATION OF GRAPH 645 9-2
A MORE EXACT P-VALUE FOR PROPORTIONS 646 10-1 BREAKDOWN OF TOTAL SS:
PROOF 647 10-2 TWO-WAY ANOVA, BREAKDOWN OF TOTAL SS: PROOF 647 10-3
ANOVA IS MUCH MORE THAN JUST TESTING H O 648 11-1 LINES AND PLANES 648
11-2 LEAST-SQUARES FORMULAS: PROOFS 650 12-2 THE MOMENTS OF FA: PROOFS
AND DISCUSSION 651 12-3 A ONE-SIDED OR TWO-SIDED TEST? 653 620 637 XVI
CONTENTS 12-4 CONFIDENCE INTERVALS ABOVE X O : PROOFS 654 13-2 SOLUTION
OF A SET OF SIMULTANEOUS EQUATIONS 655 13-5 DIRECT PLUS INDIRECT
RELATION: PROOF 656 14-4 LOG REGRESSION HANDLES A MULTIPLICATIVE ERROR
TERM 656 15-1 CORRELATION IN CHAPTER 15 AGREES WITH CHAPTER 5 657 15-2
ANOVA AND R 2 : PROOFS 657 18-2 MLE FOR SOME FAMILIAR CASES: PROOFS 658
19-2 BAYESIAN CONFIDENCE INTERVAL FORTR PROOF 660 19-3 POSTERIOR
DISTRIBUTION OF FI IN A NORMAL MODEL: PROOF 661 19-4 POSTERIOR
DISTRIBUTION OF J8 IN NORMAL REGRESSION: PROOF 661 19-5 BAYESIAN
SHRINKAGE CONFIDENCE INTERVALS 662 TABLES 663 REFERENCES 679 ANSWERS TO
ODD-NUMBERED PROBLEMS 685 GLOSSARY OF COMMON SYMBOLS 699 INDEX OF
EXAMPLES AND PROBLEMS 703 INDEX 705
|
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| spelling | Wonnacott, Thomas H. 1935- Verfasser (DE-588)131683764 aut Introductory statistics Thomas H. Wonnacott ; Ronald J. Wonnacott 5. ed. New York [u.a.] Wiley 1990 XVI, 711 S. zahlr. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Wiley series in probability and mathematical statistics Frühere Ausg. u.d.T.: Wonnacott, Ronald J.: Introductory statistics. - Arbeitsbuch u.d.T.: Wonnacott, Thomas H.: Student workbook Introductory statistics for business and economics, fourth edition and Introductory statistics, fifth edition, Thomas H. Wonnacott, Ronald H. Wonnacott Hier auch später erschienene, unveränderte Nachdrucke Mathematical statistics Probabilities Statistik (DE-588)4056995-0 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Statistik (DE-588)4056995-0 s DE-604 Wonnacott, Ronald J. 1930- Verfasser (DE-588)131683756 aut HEBIS Datenaustausch Mainz application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005908012&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Wonnacott, Thomas H. 1935- Wonnacott, Ronald J. 1930- Introductory statistics Mathematical statistics Probabilities Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4151278-9 |
| title | Introductory statistics |
| title_auth | Introductory statistics |
| title_exact_search | Introductory statistics |
| title_full | Introductory statistics Thomas H. Wonnacott ; Ronald J. Wonnacott |
| title_fullStr | Introductory statistics Thomas H. Wonnacott ; Ronald J. Wonnacott |
| title_full_unstemmed | Introductory statistics Thomas H. Wonnacott ; Ronald J. Wonnacott |
| title_short | Introductory statistics |
| title_sort | introductory statistics |
| topic | Mathematical statistics Probabilities Statistik (DE-588)4056995-0 gnd |
| topic_facet | Mathematical statistics Probabilities Statistik Einführung |
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