Statistics for lawyers:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Springer
2001
|
| Ausgabe: | 2. ed. |
| Schriftenreihe: | Statistics for social science and public policy
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXX, 617 S. graph. Darst. |
| ISBN: | 0387950079 9780387950075 |
Internformat
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| 245 | 1 | 0 | |a Statistics for lawyers |c Michael O. Finkelstein ; Bruce Levin |
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Datensatz im Suchindex
| _version_ | 1804128387528130560 |
|---|---|
| adam_text | Contents
Preface to the Second Edition vii
Preface to the First Edition ix
Acknowledgments xiii
List of Figures xxiii
List of Tables xxvii
1 Descriptive Statistics 1
1.1 Introduction to descriptive statistics 1
1.2 Measures of central location 3
1.2.1 Parking meter heist 7
1.2.2 Taxing railroad property 10
1.2.3 Capital infusions for ailing thrifts 13
1.2.4 Hydroelectric fish kill 14
1.2.5 Pricey lettuce 15
1.2.6 Super drowsy drug 16
1.3 Measures of dispersion 18
1.3.1 Texas reapportionment 22
1.3.2 Damages for pain and suffering 25
1.3.3 Ancient trial of the Pyx 26
1.4 A measure of correlation 28
1.4.1 Dangerous eggs 31
1.4.2 Public school finance in Texas 33
1.5 Measuring the disparity between two proportions 36
1.5.1 Proficiency test with a disparate impact 39
1.5.2 Bail and bench warrants 40
1.5.3 Non intoxicating beer 42
xvi Contents
2 How to Count 43
2.1 Permutations and combinations 43
2.1.1 DNAprofiling 46
2.1.2 Weighted voting 49
2.1.3 Was the bidding rigged? 51
2.1.4 A cluster of leukemia 51
2.1.5 Measuring market concentration 52
2.2 Fluctuation theory 53
2.2.1 Tracing funds for constructive trusts 55
3 Elements of Probability 57
3.1 Some fundamentals of probability calculation 57
3.1.1 Interracial couple in yellow car 63
3.1.2 Independence assumption in DNA profiles 66
3.1.3 Telltale fibers 69
3.1.4 Telltale hairs 69
3.2 Selection effect 73
3.2.1 U affaire Dreyfus 73
3.2.2 Searching DNA databases 74
3.3 Bayes s theorem 75
3.3.1 Rogue bus 77
3.3.2 Bayesian proof of paternity 79
3.4 Screening devices and diagnostic tests 81
3.4.1 Airport screening device 84
3.4.2 Polygraph evidence 86
3.5 Monte Carlo methods 88
3.5.1 Sentencing a heroin swallower 89
3.5.2 Cheating on multiple choice tests 92
3.6 Foundations of probability 95
3.6.1 Relevant evidence defined 97
4 Some Probability Distributions 99
4.1 Introduction to probability distributions 99
4.2 Binomial distribution 103
4.2.1 Discrimination in jury selection 105
4.2.2 Educational nominating panel 106
4.2.3 Small and nonunanimous juries in criminal cases. . 107
4.2.4 Cross section requirement for federal jury lists ... Ill
4.3 Normal distribution and a central limit theorem 113
4.3.1 Alexander: Culling the jury list 117
4.3.2 Castaneda: Measuring disparities 118
4.4 Testing statistical hypotheses 120
4.4.1 Hiring teachers 122
4.5 Hypergeometric distribution 123
4.5.1 Were the accountants negligent? 126
Contents xvii
4.5.2 Challenged election 127
4.5.3 Election 2000: Who won Florida? 128
4.6 Tests of normality 134
4.6.1 Heights of French conscripts 137
4.6.2 Silver butterfly straddles 138
4.7 Poisson distribution 141
4.7.1 Sulphur in the air 144
4.7.2 Vaccinations 144
4.7.3 Is the cult dangerous? 145
4.7.4 Incentive for good drivers 145
4.7.5 Epidemic of cardiac arrests 146
4.8 Geometric and exponential distributions 148
4.8.1 Marine transportation of liquefied natural gas . . . 150
4.8.2 Network affiliation contracts 150
4.8.3 Dr. Branion s case 151
5 Statistical Inference for Two Proportions 154
5.1 Fisher s exact test of equality for two proportions 154
5.1.1 Nursing examination 157
5.2 The chi squared and z score tests for the equality of
two proportions 157
5.2.1 Suspected specialists 163
5.2.2 Reallocating commodity trades 164
5.2.3 Police examination 164
5.2.4 Promotions at a bank 165
5.3 Confidence intervals for proportions 166
5.3.1 Confounders and confidence intervals 174
5.3.2 Paucity of Crossets 175
5.3.3 Purloined notices 176
5.3.4 Commodity exchange reports 177
5.3.5 Discharge for dishonest acts 178
5.3.6 Confidence interval for promotion test data 179
5.3.7 Complications in vascular surgery 179
5.3.8 Torture, disappearance, and summary execution
in the Philippines 179
5.4 Statistical power in hypothesis testing 182
5.4.1 Death penalty for rape 184
5.4.2 Is Bendectin a teratogen? 186
5.4.3 Automobile emissions and the Clean Air Act. ... 187
5.5 Legal and statistical significance 188
5.5.1 Port Authority promotions 191
5.6 Maximum likelihood estimation 193
5.6.1 Purloined notices revisited 196
5.6.2 Do microwaves cause cancer? 197
5.6.3 Peremptory challenges of prospective jurors .... 197
xviii Contents
6 Comparing Multiple Proportions 200
6.1 Using chi squared to test goodness of fit 200
6.1.1 Death qualified jurors 202
6.1.2 Spockjurors 204
6.1.3 Grand jury selection revisited 205
6.1.4 Howland Will contest 206
6.1.5 Imanishi Kari s case 209
6.2 Bonferroni s inequality and multiple comparisons 211
6.2.1 Wage additives and the four fifths rule 213
6.2.2 Discretionary parole 214
6.2.3 Cheating on standardized multiple choice
tests revisited 215
6.3 More measures of association: Phi squared (4 2) and
tauB(Tfi) 216
6.3.1 Preventive detention 218
7 Comparing Means 222
7.1 Student s ? test: Hypothesis testing and
confidence intervals 222
7.1.1 Automobile emissions and the Clean Air
Act revisited 226
7.1.2 Voirdireof prospective trial jurors 227
7.1.3 Ballot position 229
7.1.4 Student s/ test and the Castaneda rule 229
7.2 Analysis of variance for comparing several means 231
7.2.1 Fiddling debt collector 235
8 Combining Evidence Across Independent Strata 237
8.1 Mantel Haenszel and Fisher methods for combining
the evidence 237
8.1.1 Hiring lawyers 245
8.1.2 Age discrimination in employment terminations . . 246
8.2 Meta analysis 249
8.2.1 Bendectin revisited 254
9 Sampling Issues 256
9.1 The theory of random sampling 256
9.1.1 Selective Service draft lotteries 262
9.1.2 Uninsured motor vehicles 266
9.1.3 Mail order survey 266
9.1.4 Domino effect 268
9.1.5 NatraTaste versus NutraSweet 270
9.1.6 Cocaine by the bag 272
9.1.7 ASCAP sampling plan 273
9.1.8 Current Population Survey 274
Contents xix
9.2 Capture/recapture 276
9.2.1 Adjusting the census 277
10 Epidemiology 282
10.1 Introduction 282
10.2 Attributable risk 284
10.2.1 Atomic weapons tests 287
10.3 Epidemiologic principles of causation 291
10.3.1 Dalkon Shield 296
10.3.2 Radioactive cocktails for pregnant women .... 299
10.3.3 Preconception paternal irradiation and leukemia . . 302
10.3.4 Swine flu vaccine and Guillain Barre Syndrome . . 308
10.3.5 Silicone breast implants 311
11 Survival Analysis 317
11.1 Death density, survival, and hazard functions 317
11.1.1 Valuing charitable remainders 320
11.1.2 Defective house sidings 321
11.1.3 Lifing deposit accounts 322
11.2 The proportional hazards model 323
11.2.1 Age discrimination in employment
terminations revisited 327
11.2.2 Contaminated wells in Woburn 327
11.3 Quantitative risk assessment 331
11.3.1 Ureaformaldehyde foam insulation 334
11.3.2 Ethylene oxide 336
12 Nonparametric Methods 339
12.1 The sign test 339
12.1.1 Supervisory examinations 341
12.2 Wilcoxon signed rank test 342
12.2.1 Voir dire of prospective trial jurors revisited .... 343
12.3 Wilcoxon rank sum test 343
12.3.1 Sex discrimination in time to promotion 344
12.3.2 Selection for employment from a list 345
12.3.3 Sentencing by federal judges 346
12.4 Spearman s rank correlation coefficient 348
12.4.1 Draft lottery revisited 349
13 Regression Models 350
13.1 Introduction to multiple regression models 350
13.1.1 Head Start programs 355
13.2 Estimating and interpreting coefficients of the
regression equation 358
13.2.1 Western Union s cost of equity 361
xx Contents
13.2.2 Tariffs for North Slope oil 362
13.2.3 Ecological regression in vote dilution cases .... 363
13.3 Measures of indeterminacy for the regression equation . . . 367
13.3.1 Sex discrimination in academia 371
13.4 Statistical significance of the regression coefficients .... 373
13.4.1 Race discrimination at Muscle Shoals 377
13.5 Explanatory factors for a regression equation 378
13.6 Reading multiple regression computer printout 384
13.6.1 Pay discrimination in an agricultural
extension service 386
13.6.2 Public school financing in the State of Washington . 392
13.6.3 Public school financing in Pennsylvania 395
13.7 Confidence and prediction intervals 396
13.7.1 Projecting fuel costs 399
13.7.2 Severance pay dispute 399
13.7.3 Challenged absentee ballots 401
13.8 Assumptions of the regression model 402
13.9 Transformations of variables 409
13.9.1 Western Union s cost of equity revisited 414
13.9.2 Sex and race coefficient models for Republic
National Bank 414
14 More Complex Regression Models 417
14.1 Time series 417
14.1.1 Corrugated container price fixing 419
14.1.2 Puppy Chow versus Chewy Morsels 420
14.1.3 Losses from infringing sales 422
14.1.4 OTC market manipulation 423
14.1.5 Fraud on the market damages 426
14.1.6 Effects of capital gains tax reductions 428
14.2 Interactive models 433
14.2.1 House values in the shadow of a uranium plant. . . 437
14.3 Alternative models in employment discrimination cases . . 440
14.4 Locally weighted regression 444
14.4.1 Urn models for Harris Bank 446
14.5 Underadjustment bias in employment regressions 447
14.5.1 Underadjustment in medical school 451
14.6 Systems of equations 453
14.6.1 Death penalty: Does it deter murder? 455
14.7 Logit and probit regression 458
14.7.1 Mortgage lending discrimination 462
14.7.2 Death penalty in Georgia 463
14.7.3 Deterring teenage smoking 471
14.8 Poisson regression 472
14.8.1 Challenger disaster 473
Contents xxi
14.9 Jackknife, cross validation, and bootstrap 475
14.9.1 Georgia death penalty revisited 477
Appendix I: Calculations and Comments on the Cases 481
Appendix II: Tables 555
Glossary of Symbols 583
List of Cases 585
Bibliography 589
Subject Index 599
|
| any_adam_object | 1 |
| author | Finkelstein, Michael O. Levin, Bruce |
| author_facet | Finkelstein, Michael O. Levin, Bruce |
| author_role | aut aut |
| author_sort | Finkelstein, Michael O. |
| author_variant | m o f mo mof b l bl |
| building | Verbundindex |
| bvnumber | BV013585118 |
| callnumber-first | Q - Science |
| callnumber-label | QA276 |
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| callnumber-subject | QA - Mathematics |
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| classification_tum | MAT 620f |
| ctrlnum | (OCoLC)247345752 (DE-599)BVBBV013585118 |
| dewey-full | 001.422 001.4/2221 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 001 - Knowledge |
| dewey-raw | 001.422 001.4/22 21 |
| dewey-search | 001.422 001.4/22 21 |
| dewey-sort | 11.422 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines Rechtswissenschaft Mathematik Wirtschaftswissenschaften |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV013585118 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:48:26Z |
| institution | BVB |
| isbn | 0387950079 9780387950075 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009278590 |
| oclc_num | 247345752 |
| open_access_boolean | |
| owner | DE-M347 DE-91G DE-BY-TUM DE-M382 DE-521 DE-578 DE-11 DE-2070s DE-29 |
| owner_facet | DE-M347 DE-91G DE-BY-TUM DE-M382 DE-521 DE-578 DE-11 DE-2070s DE-29 |
| physical | XXX, 617 S. graph. Darst. |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Springer |
| record_format | marc |
| series2 | Statistics for social science and public policy |
| spelling | Finkelstein, Michael O. Verfasser aut Statistics for lawyers Michael O. Finkelstein ; Bruce Levin 2. ed. New York [u.a.] Springer 2001 XXX, 617 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistics for social science and public policy Statistik Recht Statistics Law -- Statistical methods Statistik (DE-588)4056995-0 gnd rswk-swf Anwendung (DE-588)4196864-5 gnd rswk-swf Jurist (DE-588)4029050-5 gnd rswk-swf Rechtswissenschaft (DE-588)4076570-2 gnd rswk-swf Statistik (DE-588)4056995-0 s Anwendung (DE-588)4196864-5 s Rechtswissenschaft (DE-588)4076570-2 s 1\p DE-604 Jurist (DE-588)4029050-5 s 2\p DE-604 Levin, Bruce Verfasser aut Erscheint auch als Online-Ausgabe 978-0-387-21602-7 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009278590&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Finkelstein, Michael O. Levin, Bruce Statistics for lawyers Statistik Recht Statistics Law -- Statistical methods Statistik (DE-588)4056995-0 gnd Anwendung (DE-588)4196864-5 gnd Jurist (DE-588)4029050-5 gnd Rechtswissenschaft (DE-588)4076570-2 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4196864-5 (DE-588)4029050-5 (DE-588)4076570-2 |
| title | Statistics for lawyers |
| title_auth | Statistics for lawyers |
| title_exact_search | Statistics for lawyers |
| title_full | Statistics for lawyers Michael O. Finkelstein ; Bruce Levin |
| title_fullStr | Statistics for lawyers Michael O. Finkelstein ; Bruce Levin |
| title_full_unstemmed | Statistics for lawyers Michael O. Finkelstein ; Bruce Levin |
| title_short | Statistics for lawyers |
| title_sort | statistics for lawyers |
| topic | Statistik Recht Statistics Law -- Statistical methods Statistik (DE-588)4056995-0 gnd Anwendung (DE-588)4196864-5 gnd Jurist (DE-588)4029050-5 gnd Rechtswissenschaft (DE-588)4076570-2 gnd |
| topic_facet | Statistik Recht Statistics Law -- Statistical methods Anwendung Jurist Rechtswissenschaft |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009278590&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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