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Books > Science & Mathematics > Mathematics > Probability & statistics
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Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science 2e (Hardcover, 2nd Edition)
Loot Price: R2,030
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Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science 2e (Hardcover, 2nd Edition)
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"This book should have a place on the bookshelf of every forensic
scientist who cares about the science of evidence interpretation"
Dr. Ian Evett, Principal Forensic Services Ltd, London, UK
Continuing developments in science and technology mean that the
amounts of information forensic scientists are able to provide for
criminal investigations is ever increasing. The commensurate
increase in complexity creates difficulties for scientists and
lawyers with regard to evaluation and interpretation, notably with
respect to issues of inference and decision. Probability theory,
implemented through graphical methods, and specifically Bayesian
networks, provides powerful methods to deal with this complexity.
Extensions of these methods to elements of decision theory provide
further support and assistance to the judicial system. Bayesian
Networks for Probabilistic Inference and Decision Analysis in
Forensic Science provides a unique and comprehensive introduction
to the use of Bayesian decision networks for the evaluation and
interpretation of scientific findings in forensic science, and for
the support of decision-makers in their scientific and legal tasks.
Includes self-contained introductions to probability and decision
theory. Develops the characteristics of Bayesian networks,
object-oriented Bayesian networks and their extension to decision
models. Features implementation of the methodology with reference
to commercial and academically available software. Presents
standard networks and their extensions that can be easily
implemented and that can assist in the reader s own analysis of
real cases. Provides a technique for structuring problems and
organizing data based on methods and principles of scientific
reasoning. Contains a method for the construction of coherent and
defensible arguments for the analysis and evaluation of scientific
findings and for decisions based on them. Is written in a lucid
style, suitable for forensic scientists and lawyers with minimal
mathematical background. Includes a foreword by Ian Evett. The
clear and accessible style of this second edition makes this book
ideal for all forensic scientists, applied statisticians and
graduate students wishing to evaluate forensic findings from the
perspective of probability and decision analysis. It will also
appeal to lawyers and other scientists and professionals interested
in the evaluation and interpretation of forensic findings,
including decision making based on scientific information.
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