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Lucy, David
Introductory Statistics for Forensic Scientists

1. Edition - November 2005
32.90 Euro
2005. 266 Pages, Softcover
ISBN-10: 0-470-02201-9
ISBN-13: 978-0-470-02201-6 - John Wiley & Sons


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Short description
Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding 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 the 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 then goes on to introduce statistical techniques commonly used to examine data obtained during laboratory experiments. There is a strong emphasis on 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 are discussed throughout with a particular focus on DNA, fibres and glass.

An invaluable introduction to the statistical interpretation of forensic evidence; this book will be invaluable for all undergraduates taking courses in forensic science.
* Introduction to the key statistical techniques used in the evaluation of forensic evidence
* Includes end of chapter exercises to enhance student understanding
* Numerous examples taken from forensic science to put the subject into context

From the contents
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


 
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