Levin / Finkelstein | Statistics for Lawyers | Buch | 978-1-4419-2861-0 | sack.de

Buch, Englisch, 618 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1970 g

Reihe: Statistics for Social and Behavioral Sciences

Levin / Finkelstein

Statistics for Lawyers


2. Auflage 2001. Corr. Printing. Softcover version of original hardcover Auflage 2001
ISBN: 978-1-4419-2861-0
Verlag: Springer

Buch, Englisch, 618 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1970 g

Reihe: Statistics for Social and Behavioral Sciences

ISBN: 978-1-4419-2861-0
Verlag: Springer


Statistics for Lawyers 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 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. 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, and the death penalty. The first edition of Statistics for Lawyers, which appeared in 1990, has been used in law, statistics, and social science courses. In 1991 it was selected by the University of Michigan Law Review as one of the important law books of the year. This second edition includes many new problems reflecting current developments in the law, including a new chapter on epidemiology.

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Zielgruppe


Professional/practitioner

Weitere Infos & Material


Descriptive Statistics.- How to Count.- Elements of Probability.- Some Probability Distributions.- Statistical Inference for Two Proportions.- Comparing Multiple Proportions.- Comparing Means.- Combining Evidence Across Independent Strata.- Sampling Issues.- Epidemiology.- Survival Analysis.- Nonparametric Methods.- Regression Models.- More Complex Regression Models.



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