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A Probabilistic Analysis of the Sacco and Vanzetti Evidence
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A Probabilistic Analysis of the Sacco and Vanzetti Evidence Tapa dura - 1996

de David A. Schum


Información de la editorial

A Probabilistic Analysis of the Sacco and Vanzetti Evidence is aBayesian analysis of the trial and post-trial evidence in the Saccoand Vanzetti case, based on subjectively determined probabilitiesand assumed relationships among evidential events. It applies theideas of charting evidence and probabilistic assessment to thiscase, which is perhaps the ranking cause celebre in all of Americanlegal history. Modern computation methods applied to inferencenetworks are used to show how the inferential force of evidence ina complicated case can be graded. The authors employ probabilisticassessment to obtain opinions about how influential each group ofevidential items is in reaching a conclusion about the defendants'innocence or guilt. A Probabilistic Analysis of the Sacco and Vanzetti Evidence holdsparticular interest for statisticians and probabilists in academiaand legal consulting, as well as for the legal community, historians, and behavioral scientists. It combines structural andprobabilistic ideas in the analysis of masses of evidence fromevery recognized logical species of evidence. Twenty-eight chartsshow the chains of reasoning in defense of the relevance ofevidentiary matters and a listing of trial witnesses who providedthe evidence. References include nearly 300 items drawn from thefields of probability theory, history, law, artificialintelligence, psychology, literature, and other areas.

Descripción de contraportada

A Probabilistic Analysis of the Sacco and Vanzetti Evidence is a Bayesian analysis of the trial and post-trial evidence in the Sacco and Vanzetti case, based on subjectively determined probabilities and assumed relationships among evidential events. It applies the ideas of charting evidence and probabilistic assessment to this case, which is perhaps the ranking cause c�l�bre in all of American legal history. Modern computation methods applied to inference networks are used to show how the inferential force of evidence in a complicated case can be graded. The authors employ probabilistic assessment to obtain opinions about how influential each group of evidential items is in reaching a conclusion about the defendants' innocence or guilt.

A Probabilistic Analysis of the Sacco and Vanzetti Evidence holds particular interest for statisticians and probabilists in academia and legal consulting, as well as for the legal community, historians, and behavioral scientists. It combines structural and probabilistic ideas in the analysis of masses of evidence from every recognized logical species of evidence. Twenty-eight charts show the chains of reasoning in defense of the relevance of evidentiary matters and a listing of trial witnesses who provided the evidence. References include nearly 300 items drawn from the fields of probability theory, history, law, artificial intelligence, psychology, literature, and other areas.

Detalles

  • Título A Probabilistic Analysis of the Sacco and Vanzetti Evidence
  • Autor David A. Schum
  • Encuadernación Tapa dura
  • Edición First edition
  • Páginas 392
  • Volúmenes 1
  • Idioma ENG
  • Editorial Wiley, U.S.A.
  • Fecha de publicación 1996-05
  • Ilustrado
  • ISBN 9780471141822 / 0471141828
  • Peso 1.62 libras (0.73 kg)
  • Dimensiones 9.58 x 6.51 x 0.94 pulgadas (24.33 x 16.54 x 2.39 cm)
  • Temas
    • Cultural Region: New England
    • Geographic Orientation: Massachusetts
  • Library of Congress subjects Sacco-Vanzetti Trial, Dedham, Mass., 1921, Evidence (Law) - United States - Statistical
  • Número de catálogo de la Librería del Congreso de EEUU 95042458
  • Dewey Decimal Code 347.307

Acerca del autor

JOSEPH B. KADANE is Leonard J. Savage Professor of Statistics and Social Sciences in the Department of Statistics at the Carnegie Mellon University. In 1993 he was cowinner of the Frank Wilcoxon Award. Professor Kadane is the author of Bayesian Methods and Ethics in a Clinical Trial Design and coauthor of Statistics and the Law (Wiley).

DAVID A. SCHUM is Professor of Information Technology and Engineering and Professor of Law at George Mason University. A Fellow of the American Psychological Association, he is the author of Evidential Foundations of Probabilistic Reasoning (Wiley).
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