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Published by Springer-Verlag New York Inc., New York, NY, 2009
ISBN 10: 038787500X ISBN 13: 9780387875002
Language: English
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Paperback. Condition: new. Paperback. 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 Courts new requirement made the Federal Judicial Centers Reference Manual on Scienti?c Evidence, which appeared at about the same time, a best seller. It has several important chapters on statistics. 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. Columbia Law School, where I teach, has a professor of law and epidemiology and other law schools have similar law and professorships. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer-Verlag New York Inc., 2009
ISBN 10: 038787500X ISBN 13: 9780387875002
Language: English
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Add to basketCondition: New. This book shows how basic statistical tools have been applied in real legal disputes. Examples range over diverse fields of law, such as mass torts, securities law, and capital punishment, and will be of interest to both statisticians and lawyers. Num Pages: 174 pages, biography. BIC Classification: LA; PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 10. Weight in Grams: 600. . 2009. Paperback. . . . .
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Add to basketPaperback. Condition: Brand New. 1st edition. 172 pages. 9.00x6.10x0.60 inches. In Stock.
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Published by Springer-Verlag New York Inc., 2009
ISBN 10: 038787500X ISBN 13: 9780387875002
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. This book shows how basic statistical tools have been applied in real legal disputes. Examples range over diverse fields of law, such as mass torts, securities law, and capital punishment, and will be of interest to both statisticians and lawyers. Num Pages: 174 pages, biography. BIC Classification: LA; PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 10. Weight in Grams: 600. . 2009. Paperback. . . . . Books ship from the US and Ireland.
Published by Springer-Verlag New York Inc., New York, NY, 2009
ISBN 10: 038787500X ISBN 13: 9780387875002
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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 Courts new requirement made the Federal Judicial Centers Reference Manual on Scienti?c Evidence, which appeared at about the same time, a best seller. It has several important chapters on statistics. 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. Columbia Law School, where I teach, has a professor of law and epidemiology and other law schools have similar law and professorships. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Springer-Verlag New York Inc., 2009
ISBN 10: 038787500X ISBN 13: 9780387875002
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 97.85
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 630.
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.