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Author: David W. Barnes
Publisher:
ISBN:
Category : Forensic statistics
Languages : en
Pages : 136
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Book Description
Author: David W. Barnes
Publisher:
ISBN:
Category : Forensic statistics
Languages : en
Pages : 136
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Book Description
Author: David W. Barnes
Publisher: Aspen Publishers
ISBN: 9780316081450
Category :
Languages : en
Pages : 686
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Book Description
This handbook on statistics for the practitioner uses cases from many different areas of law to demonstrate the use of statistics in practice. The basics of statistics are presented along with the status of statistical evidence in court.
Author: Richard A. Wehmhoefer
Publisher: McGraw-Hill Companies
ISBN:
Category : Law
Languages : en
Pages : 552
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Book Description
This practical sourcebook descusses how to apply statistical analysis to legal problems. The use of statistical evidence in a wide variety of cases involving constitutional issues, personal injury, wrongful death, criminal law, antitrust, medical causation, & other areas is presented in the work.
Author: D.H. Kaye
Publisher: CRC Press
ISBN: 1498710484
Category : Mathematics
Languages : en
Pages : 233
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Book Description
This book sketches some of the legal doctrines that underlie discrimination litigation. It describes and probes frequently seen statistical methods. The book also describes the more or less standard methods being brought into United States Supreme Court.
Author: Stephen E. Fienberg
Publisher: Springer Science & Business Media
ISBN: 1461236045
Category : Law
Languages : en
Pages : 359
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Book Description
With increasing frequency, the proof of facts in legal proceedings en tails the use of quantitative methods. Judges, lawyers, statisticians, social scientists, and many others involved in judicial processes must address is sues such as the evaluation and interpretation of quantitative evidence, the ethical and professional obligations of expert witnesses, and the roles of court-appointed witnesses. The Panel on Statistical Assessments as Evi dence in the Courts was convened to help clarify these issues and provide some guidance in addressing the difficulties encountered in the use of quan titative assessments in legal proceedings. This report is the culmination of more than three years of research and deliberation. In it, we address a variety of issues that arise in federal and state court proceedings when statistical assessments such as quantitative descriptions, causal inferences, and predictions of events based on earlier occurrences are presented as evidence. We appraise the forms in which such assessments are presented, aspects of their admission into evidence, and the response to and evaluation of them by judges and juries.
Author: Nicholas Lennings
Publisher: Bloomsbury Publishing
ISBN: 1509957340
Category : Law
Languages : en
Pages : 295
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Book Description
This book evaluates the role played by statistical evidence in litigation. Despite the increasing prevalence of statistical evidence in modern litigation, how such evidence should be admitted and used by courts is often inconsistent and widely criticised. Accepting that statistical evidence can lead to more accurate decisions, the book proposes criteria that could allow courts to decide that statistical evidence is good for fact-finding. The many and varied scholarly debates regarding statistical evidence have by and large avoided judicial attention. Unlike previous works, this book contextualises those debates in the language and practice of evidence law, focusing principally on Australia, as well as the UK and the USA. It does so by identifying that the controversy around statistical evidence follows the three-tiered statistical syllogism underlying statistical inference: first, whether statistical evidence is capable of establishing an association between phenomena in a state of nature; second, inferring that phenomena to an individual from the general association; and third, whether statistical evidence can be sufficient for proof of contested facts. Objections are said to arise at each level of this syllogism and, by mapping these objections onto evidence law, the book argues that a pathway for the judicial evaluation of statistical evidence can be constructed.
Author: Jeremy John Guinta
Publisher:
ISBN:
Category :
Languages : en
Pages : 46
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Book Description
The p-value has a long and storied use in expert testimony and litigation. However, researchers and academics in science and academia are questioning the use and reliance of p-values for the determination of statistical significance of findings. It is a natural extension to explore the concerns of science and academia to how p-values are used in litigation. This paper explores the history behind the use of the p-value in expert testimony and litigation, the potential issues with triers of fact and experts relying on p-values to make decisions based on statistical significance. Using a gender pay equity model as an example, this paper will develop several simulated datasets and models to show how p-values can be influenced to show statistically significant results or non-statistically significant results using simple modifications to the model specifications or the amount of data being used. This paper will also explore potential methods for analyzing the power of the test and considerations for regression analysis. The analysis suggests that more consideration is necessary for the use of a p-value "bright line" for gender pay analyses, and that a simple "bright line" consideration for litigation could be easily manipulated.
Author: Michael O. Finkelstein
Publisher: Springer Science & Business Media
ISBN: 0387875018
Category : Law
Languages : en
Pages : 174
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Book Description
When as a practicing lawyer I published my ?rst article on statistical evidence in 1966, the editors of the Harvard Law Review told me that a mathematical equa- 1 tion had never before appeared in the review. This hardly seems possible - but if they meant a serious mathematical equation, perhaps they were right. Today all that has changed in legal academia. Whole journals are devoted to scienti?c methods in law or empirical studies of legal institutions. Much of this work involves statistics. Columbia Law School, where I teach, has a professor of law and epidemiology and other law schools have similar “law and” professorships. Many offer courses on statistics (I teach one) or, more broadly, on law and social science. The same is true of practice. Where there are data to parse in a litigation, stat- ticians and other experts using statistical tools now frequently testify. And judges must understand them. In 1993, in its landmark Daubert decision, the Supreme Court commanded federal judges to penetrate scienti?c evidence and ?nd it “re- 2 liable” before allowing it in evidence. It is emblematic of the rise of statistics in the law that the evidence at issue in that much-cited case included a series of epidemiological studies. The Supreme Court’s new requirement made the Federal Judicial Center’s Reference Manual on Scienti?c Evidence, which appeared at about the same time, a best seller. It has several important chapters on statistics.
Author: Michael O. Finkelstein
Publisher: Springer Science & Business Media
ISBN: 1461233283
Category : Social Science
Languages : en
Pages : 631
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Book Description
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.
Author: Ramona L. Paetzold
Publisher: McGraw-Hill Companies
ISBN:
Category : Law
Languages : en
Pages : 672
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Book Description
