000 02618cam a2200289 i 4500
001 137475
003 ISI Library, Kolkata
005 20170330131630.0
008 160915s2015 nyua b 001 0 eng
020 _a9781441959843
040 _aISI Library
082 0 4 _a000SB:340
_223
_bF499
100 1 _aFinkelstein, Michael O.,
_eauthor
245 1 0 _aStatistics for lawyers /
_cMichael O. Finkelstein and Bruce Levin.
250 _a3rd ed.
260 _aNew York :
_bSpringer,
_c2015.
300 _axxxii, 661 pages :
_billustrations ;
_c25 cm.
490 0 _aStatistics for social and behavioral sciences
500 _aWith 58 figures.
504 _aIncludes bibliographical references and index.
505 0 _a1. Descriptive statistics -- 2. How to count -- 3. Elements of probability -- 4. Some probability distributions -- 5. Statistical inference for two proportions -- 6. Comparing multiple proportions -- 7. Comparing means -- 8. Combining evidence across independent strata -- 9. Sampling issues -- 10. Epidemiology -- 11. Survival analysis -- 12. Nonparametric methods -- 13. Regression models -- 14. More complex regression models.
520 _aThis classic text, first published in 1990, is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the law. The third edition includes over twenty new sections, including the addition of timely topics, like New York City police stops, exonerations in death-sentence cases, projecting airline costs, and new material on various statistical techniques such as the randomized response survey technique, rare-events meta-analysis, competing risks, and negative binomial regression. The book consists of sections of exposition followed by real-world cases and case studies in which statistical data have played a role. The reader is asked to apply the theory to the facts, to calculate results (a hand calculator is sufficient), and to explore legal issues raised by quantitative findings. The authors' calculations and comments are given in the back of the book. As with previous editions, the cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence, preventive detention, handwriting disputes, voting, environmental protection, antitrust, sampling for insurance audits, and the death penalty.
650 0 _aLaw
_xStatistical methods.
650 0 _aStatistics.
700 1 _aLevin, Bruce,
_eauthor
942 _2ddc
_cBK
999 _c421469
_d421469