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Statistics for Lawyers

  • Michael O. Finkelstein
  • Bruce Levin

Part of the Springer Texts in Statistics book series (STS)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Michael O. Finkelstein, Bruce Levin
    Pages 1-61
  3. Michael O. Finkelstein, Bruce Levin
    Pages 62-75
  4. Michael O. Finkelstein, Bruce Levin
    Pages 76-110
  5. Michael O. Finkelstein, Bruce Levin
    Pages 111-155
  6. Michael O. Finkelstein, Bruce Levin
    Pages 156-201
  7. Michael O. Finkelstein, Bruce Levin
    Pages 202-223
  8. Michael O. Finkelstein, Bruce Levin
    Pages 224-240
  9. Michael O. Finkelstein, Bruce Levin
    Pages 241-257
  10. Michael O. Finkelstein, Bruce Levin
    Pages 258-283
  11. Michael O. Finkelstein, Bruce Levin
    Pages 284-308
  12. Michael O. Finkelstein, Bruce Levin
    Pages 309-322
  13. Michael O. Finkelstein, Bruce Levin
    Pages 323-467
  14. Back Matter
    Pages 566-609

About this book

Introduction

Statistics for Lawyers presents the science of statistics in action at the cutting edge of legal problems. A series of more than 90 case studies, drawn principally from actual litigation, have been selected to illustrate important areas of the law in which statistics has played a role and to demonstrate a variety of statistical tools. Some case studies raise legal issues that are being intensely debated and lie at the edge of the law. Of particular note are problems involving toxic torts, employment discrimination, stock market manipulation, paternity, tax legislation, and drug testing. The case studies are presented in the form of legal/statistical puzzles to challenge the reader and focus discussion on the legal implications of statistical findings. The techniques range from simple averaging for the estimation of thefts from parking meters to complex logistic regression models for the demonstration of discrimination in the death penalty. Excerpts of data allow the reader to compute statistical results and an appendix contains the authors' calculations.

Keywords

Logistic Regression Survival analysis descriptive statistics employment regression statistical inference statistics

Authors and affiliations

  • Michael O. Finkelstein
    • 1
  • Bruce Levin
    • 2
  1. 1.Lord Day & Lord, Barrett SmithNew YorkUSA
  2. 2.School of Public Health Division of BiostatisticsColumbia UniversityNew YorkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-3328-2
  • Copyright Information Springer-Verlag New York 1990
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-97140-7
  • Online ISBN 978-1-4612-3328-2
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site
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