Handbook of Forensic Statistics

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advanced forensic statistical modeling
Allele Probabilities
Bayes Factor
Bayesian Networks
bite marks
blood splatters
Cartridge Cases
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Data Set
Defense Attorney's Fallacy
Defense Attorney’s Fallacy
DNA
DNA Database
DNA Evidence
DNA Match
DNA Mixture
DNA Profile
DNA Typing
drug testing
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eq_society-politics
evidence interpretation
eyewitness identification
fingerprints
forensic biometrics
Forensic DNA
Forensic DNA Analysis
Forensic DNA Evidence
Forensic DNA Profile
forensic entomology methods
Forensic statistics
Hypothesis testing
legal admissibility statistics
Likelihood Ratio
LR Method
NRC Report
pattern recognition analysis
Proper Scoring Rules
Prosecutor's Fallacy
Prosecutor’s Fallacy
Random Match Probability
Roc Curve
statistical decision theory
Statistical findings
Statistical inference
Str Locus
Trace Impression

Product details

  • ISBN 9781138295407
  • Weight: 453g
  • Dimensions: 178 x 254mm
  • Publication Date: 06 Nov 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Handbook of Forensic Statistics is a collection of chapters by leading authorities in forensic statistics. Written for statisticians, scientists, and legal professionals having a broad range of statistical expertise, it summarizes and compares basic methods of statistical inference (frequentist, likelihoodist, and Bayesian) for trace and other evidence that links individuals to crimes, the modern history and key controversies in the field, and the psychological and legal aspects of such scientific evidence.

Specific topics include uncertainty in measurements and conclusions; statistically valid statements of weight of evidence or source conclusions; admissibility and presentation of statistical findings; and the state of the art of methods (including problems and pitfalls) for collecting, analyzing, and interpreting data in such areas as forensic biology, chemistry, and pattern and impression evidence. The particular types of evidence that are discussed include DNA, latent fingerprints, firearms and toolmarks, glass, handwriting, shoeprints, and voice exemplars.

David Banks is a professor in Department of Statistical Science at Duke University. He is a former coordinating editor of the Journal of the American Statistical Association, director of the Statistical and Applied Mathematical Sciences Institute, and a Fellow of the ASA and the Institute of Mathematical Statistics. Karen Kafadar is a Commonwealth Professor and the chair of the Department of Statistics at the University of Virginia. She is a former president of the ASA; a Fellow of the International Statistics Institute, the ASA and the AAAS; and a former member of the Forensic Science Standards Board (FSSB) of the Organization of Scientific Area Committees for Forensic Science (OSAC). David Kaye is Distinguished Professor of Law Emeritus at Pennsylvania State University and Regents’ Professor of Law and Life Sciences Emeritus at Arizona State University. He is a former editor of Jurimetrics Journal; a member of the FSSB; and the 2020 recipient of the Association of American Law Schools’ Wigmore Lifetime Achievement Award for contributions to the understanding of the proof process and the rules of evidence. Maria Tackett is an assistant professor of the practice in Department of Statistical Science at Duke University.