Essential Mathematics and Statistics for Forensic Science (eBook)
366 Seiten
John Wiley & Sons (Verlag)
978-0-470-71035-7 (ISBN)
wide range of mathematical and statistical tools needed by the
forensic scientist in the analysis, interpretation and presentation
of experimental measurements.
From a basis of high school mathematics, the book develops
essential quantitative analysis techniques within the context of a
broad range of forensic applications. This clearly structured text
focuses on developing core mathematical skills together with an
understanding of the calculations associated with the analysis of
experimental work, including an emphasis on the use of graphs and
the evaluation of uncertainties. Through a broad study of
probability and statistics, the reader is led ultimately to the use
of Bayesian approaches to the evaluation of evidence within the
court. In every section, forensic applications such as ballistics
trajectories, post-mortem cooling, aspects of forensic
pharmacokinetics, the matching of glass evidence, the formation of
bloodstains and the interpretation of DNA profiles are discussed
and examples of calculations are worked through. In every chapter
there are numerous self-assessment problems to aid student
learning.
Its broad scope and forensically focused coverage make this book
an essential text for students embarking on any degree course in
forensic science or forensic analysis, as well as an invaluable
reference for post-graduate students and forensic
professionals.
Key features:
* Offers a unique mix of mathematics and statistics topics,
specifically tailored to a forensic science undergraduate
degree.
* All topics illustrated with examples from the forensic science
discipline.
* Written in an accessible, student-friendly way to engage
interest and enhance learning and confidence.
* Assumes only a basic high-school level prior mathematical
knowledge.
Craig Adam has over twenty years experience in teaching mathematics within the context of science at degree level. Initially this was within the physics discipline, but more recently he has developed and taught courses in mathematics and statistics for students in forensic science. As head of natural sciences at Staffordshire University in 1998, he led the initial development of forensic science degrees at that institution. Once at Keele University he worked within physics before committing himself principally to forensic science from 2004. His current research interests are focused on the use of chemometrics in the interpretation and evaluation of data from the analysis of forensic materials, particularly those acquired from spectroscopy. His teaching expertise areas within forensic science, apart from mathematics and statistics, include blood dynamics and pattern analysis, enhancement of marks and impressions, all aspects of document analysis, trace evidence analysis and evidence evaluation.
"The book's main selling point is its pedagogical approach to make
the contents relevant to the intended audience by using
subject-specific examples. This is successful in the main, with
examples originating from a wide variety of areas in forensic
science, so that neither the forensic biologist nor the forensic
chemist or physicist need to feel neglected. It is even more
commendable that Craig Adams manages to find a forensic context for
the development of essential skills, such as the computation of
concentrations from spectrophotometric measurements and the
plotting of standard curves for HPLC data." (Reviews,
December 2010)
Erscheint lt. Verlag | 30.3.2010 |
---|---|
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
Medizin / Pharmazie | |
Naturwissenschaften ► Biologie | |
Naturwissenschaften ► Chemie | |
Recht / Steuern ► Strafrecht ► Kriminologie | |
Sozialwissenschaften | |
Schlagworte | Analytische Chemie / Forensik • Angewandte Wahrscheinlichkeitsrechnung u. Statistik • Applied Probability & Statistics • Biowissenschaften • Chemie • Chemistry • Forensics • Forensic Science • Forensik • Forensische Wissenschaft • Genetik • Life Sciences • Mathematik • Statistics • Statistik |
ISBN-10 | 0-470-71035-7 / 0470710357 |
ISBN-13 | 978-0-470-71035-7 / 9780470710357 |
Haben Sie eine Frage zum Produkt? |
Größe: 1,7 MB
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