| Description |
xiv, 251 pages : illustrations ; 26 cm |
| Contents |
A short history of statistics in the law -- Data types, location, and dispersion -- Probability -- The normal distribution -- Measures of nominal and ordinal association -- Correlation -- Regression and calibration -- Evidence evaluation -- Conditional probability and Bayes' theorem -- Relevance and the formulation of propositions -- Evaluation of evidence in practice -- Evidence evaluation examples -- Errors in interpretation -- DNA I -- DNA II -- Sampling and sample size estimation -- Epilogue |
| Summary |
"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 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 is discussed throughout with a particular focus on DNA, fibres and glass." |
|
"An essential introduction to the statistical interpretation of forensic evidence, this book will be invaluable for all undergraduates taking courses in forensic science."--BOOK JACKET |
| Bibliography |
Includes bibliographical references (pages [243]-247) and index |
| Subject |
Forensic sciences -- Statistical methods.
|
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Forensic statistics.
|
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Evidence (Law) -- Statistical methods.
|
| LC no. |
2005028184 |
| ISBN |
0470022000 |
|
0470022019 |
|
