David Lucy

Introduction to Statistics for Forensic Scientists

• Broschiertes Buch

Produktbeschreibung

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 literature and forensic case-work to illustrate relevant statistical concepts and methods.

Opening with a brief overview of the history and use of statistics within forensic science, the text goes on to introduce statistical techniques commonly used to examine data obtained during laboratory experiments. There is a strong emphasis of the evaluation of scientific observation as evidence and modern Bayesian approaches to interpreting forensic data for the courts. The analysis of key forms of evidence is discussed throughout with a particular forces on DNA, fibres and glass.
_ Introduces key statistical techniques used in the evaluation of forensic evidence.
_ Included the end of chapter exercises to enhance student understanding.
_ Numerous examples taken from forensic science put the subject into context.

An essential introduction to the statistical interpretation of forensic evidence, this book be invaluable for all undergraduates taking courses in forensic science.

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 272
• Erscheinungstermin: 4. November 2005
• Englisch
• Abmessung: 244mm x 170mm x 15mm
• Gewicht: 520g
• ISBN-13: 9780470022016
• ISBN-10: 0470022019
• Artikelnr.: 20752618

Autorenporträt

Dr. David Lucy, School of Mathematics, The University of Edinburgh

Inhaltsangabe

Table of Contents (Provisional) History and types of Data 1.1 Introduction
to the use of statistics in forensic science 1.2 Some examples of how
statistics are used in forensic science 1.3 Types of data 1.4 Populations
and samples 1.5 Distributions * Location and dispersion 2.1 Location 2.2
Dispersion 2.3 Measurement error and hierarchy of error * Simple
probability 3.1 Absolute probability models 3.2 Binomial probability * The
normal distribution 4.1 Percentage points of the normal distribution 4.2
Standard deviation and standard error of the mean 4.3 Percentage points of
the normal distribution * Testing between sample means 5.1 The t
distribution and the standard error of the mean 5.2 T testing between two
independent samples * Conditional probability 6.1 Why we need conditional
probability and values of evidence 6.2 Conditional probability * Bayes'
theorem and the value of evidence 7.1 Bayes' theorem 7.2 The value of
evidence * Examples in the value of evidence 8.1 Blood group frequencies
8.2 Trouser fibres 8.3 Height description from eyewitness * Errors in
interpretation 9.1 Statistically based errors of interpretation 9.2
Methodological errors of interpretation * DNA1 10.1 Loci and alleles 10.2
Simple case genotypic frequencies 10.3 Hardy-Weinberg equilibrium 10.4
Simple case allelic frequencies 10.5 Accounting for sub-populations * DNA
II 11.1 Paternity-mother and father unrelated 11.2 Database searches and
value of evidence 11.3 Discussion * Current developments in Forensic
Statistics 12.1 How many drugs to sample 12.2 How many fibres to sample
12.3 Value of evidence from multivariate data A References B. Worked
answers to questions C. The standard Normal distribution D. Percentage
points of t-distributions E. delta9-THC data

Rezensionen

"...the book is an easy read...it would appeal to students of forensic science at both introductory and advanced levels." (Journal of Tropical Pedriatrics, 2nd February 2006)

"It deserves a place in the library of any seriousforensic scientist and I congratulate the author on hisachievement." (Significance, 1 March2006)"...it does a wonderful job of connecting forensic science tothe field of statistics." (Technometrics, August 2007)