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 infere…
Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applic…
Dr. David Lucy, School of Mathematics, The University of Edinburgh<br />
"Introduction to Statistics for Forensic Scientists gently guides the reader through the key statistical techniques used to evaluate various types of Forensic evidence. Assuming only a modest mathematical background, the book uses real-life examples from forensic science literat…
Uvodno poglavje nas na kratko seznanja z zgodovino in uporabo statistike v kriminalistiki, nato pa sledijo opisi najpomembnejših statističnih tehnik, ki se uporabljajo pri raziskovanju, ovrednotenju in interpretaciji raznih vrst forenzičnih dokazov, s poudarkom na DNK, vlaknih i…
'Introduction to Statistics for Forensic Scientists' is an essential introduction to the subject, gently guiding the reader through the key stastical techniques used to evaluate various types of forensic evidence.
'Introduction to Statistics for Forensic Scientists' is an essential introduction to the subject, gently guiding the reader through the key stastical techniques used to evaluate various types of forensic evidence.
The third edition of Statistics and the Evaluation of Evidence for Forensic Scientists is fully updated to provide the latest research and developments in the use of statistical techniques to evaluate and interpret evidence. Courts are increasingly aware of the importance of pro…
"With the increase in the availability of data, the role of statistical and probabilistic reasoning is becoming ever more high profile, and courts are increasingly aware of the importance of the proper assessment of evidence in which there is random variation. Statistical techni…