Bayesian Networks and Probabilistic Inference in Forensic Science (Statistics in Practice) - Hardcover

Taroni, Franco; Aitken, Colin; Garbolino, Paolo; Biedermann, Alex

 
9780470091739: Bayesian Networks and Probabilistic Inference in Forensic Science (Statistics in Practice)
Hardcover
ISBN 10: 0470091738 ISBN 13: 9780470091739
Verlag: John Wiley & Sons, 2006

Inhaltsangabe

"...a truly excellent work of scholarship," - Professor D. Schum - George Mason University, Fairfax, Virginia, USA.
 
The amount of information forensic scientists are able to offer is ever increasing, owing to vast developments in science and technology. Consequently, the complexity of evidence does not allow scientists to cope adequately with the problems it causes, or to make the required inferences. Probability theory, implemented through graphical methods, specifically Bayesian networks, offers a powerful tool to deal with this complexity, and discover valid patterns in data. Bayesian Networks and Probabilistic Inference in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian networks for the evaluation of scientific evidence in forensic science.
* Includes self-contained introductions to both Bayesian networks and probability.
* Features implementation of the methodology using HUGIN, the leading Bayesian networks software.
* Presents basic standard networks that can be implemented in commercially and academically available software packages, and that form the core models necessary for the reader's own analysis of real cases.
* Provides a technique for structuring problems and organizing uncertain data based on methods and principles of scientific reasoning.
* Contains a method for constructing coherent and defensible arguments for the analysis and evaluation of forensic evidence.
* Written in a lucid style, suitable for forensic scientists with minimal mathematical background.
* Includes a foreword by David Schum.
 
The clear and accessible style makes this book ideal for all forensic scientists and applied statisticians working in evidence evaluation, as well as graduate students in these areas. It will also appeal to scientists, lawyers and other professionals interested in the evaluation of forensic evidence and/or Bayesian networks.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Franco Taroni - University of Lausanne, Switzerland
 
Colin Aitken - University of Edinburgh, UK
 
Paolo Garbolino - University IUAV of Venice, Italy
 
Alex Biedermann - University of Lausanne and Federal Office of Police, Berne, Switzerland

Von der hinteren Coverseite

"...a truly excellent work of scholarship," - Professor D. Schum - George Mason University, Fairfax, Virginia, USA.
 
The amount of information forensic scientists are able to offer is ever increasing, owing to vast developments in science and technology. Consequently, the complexity of evidence does not allow scientists to cope adequately with the problems it causes, or to make the required inferences. Probability theory, implemented through graphical methods, specifically Bayesian networks, offers a powerful tool to deal with this complexity, and discover valid patterns in data. Bayesian Networks and Probabilistic Inference in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian networks for the evaluation of scientific evidence in forensic science.
* Includes self-contained introductions to both Bayesian networks and probability.
* Features implementation of the methodology using HUGIN, the leading Bayesian networks software.
* Presents basic standard networks that can be implemented in commercially and academically available software packages, and that form the core models necessary for the reader's own analysis of real cases.
* Provides a technique for structuring problems and organizing uncertain data based on methods and principles of scientific reasoning.
* Contains a method for constructing coherent and defensible arguments for the analysis and evaluation of forensic evidence.
* Written in a lucid style, suitable for forensic scientists with minimal mathematical background.
* Includes a foreword by David Schum.
 
The clear and accessible style makes this book ideal for all forensic scientists and applied statisticians working in evidence evaluation, as well as graduate students in these areas. It will also appeal to scientists, lawyers and other professionals interested in the evaluation of forensic evidence and/or Bayesian networks.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
John Wiley & Sons
Erscheinungsdatum
2006
Sprache
Englisch
ISBN 10 
0470091738
ISBN 13 
9780470091739
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
372
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar

Weitere beliebte Ausgaben desselben Titels

9780470091753: Bayesian Networks and Probabilistic Inference in Forensic Science

Vorgestellte Ausgabe

ISBN 10:  0470091754 ISBN 13:  9780470091753
Verlag: John Wiley & Sons, 2006
Softcover