Introduction to Statistics for Forensic Scientists

Author: David Lucy
Publisher: John Wiley & Sons
ISBN: 9781118700105
Release Date: 2013-05-03
Genre: Medical

Introduction to Statistics for Forensic Scientists is anessential introduction to the subject, gently guiding the readerthrough the key statistical techniques used to evaluate varioustypes of forensic evidence. Assuming only a modest mathematicalbackground, the book uses real-life examples from the forensicscience literature and forensic case-work to illustrate relevantstatistical concepts and methods. Opening with a brief overview of the history and use ofstatistics within forensic science, the text then goes on tointroduce statistical techniques commonly used to examine dataobtained during laboratory experiments. There is a strong emphasison the evaluation of scientific observation as evidence and modernBayesian approaches to interpreting forensic data for the courts.The analysis of key forms of evidence are discussed throughout witha particular focus on DNA, fibres and glass. An invaluable introduction to the statistical interpretation offorensic evidence; this book will be invaluable for allundergraduates taking courses in forensic science. Introduction to the key statistical techniques used in theevaluation of forensic evidence Includes end of chapter exercises to enhance studentunderstanding Numerous examples taken from forensic science to put thesubject into context

Introduction to Statistics for Forensic Scientists

Author: David Lucy
Publisher: John Wiley & Sons
ISBN: 9780470022023
Release Date: 2006-02-22
Genre: Medical

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

Essential Mathematics and Statistics for Forensic Science

Author: Craig Adam
Publisher: John Wiley & Sons
ISBN: 9781119964186
Release Date: 2011-09-20
Genre: Medical

This text is an accessible, student-friendly introduction to the 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.

Introduction to Data Analysis with R for Forensic Scientists

Author: James Michael Curran
Publisher: CRC Press
ISBN: 1420088270
Release Date: 2010-07-30
Genre: Law

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and mathematics and focuses on the application and practice of statistics to provide researchers with the dexterity necessary to systematically analyze data discovered from the fruits of their research. Using traditional techniques and employing examples and tutorials with real data collected from experiments, this book presents the following critical information necessary for researchers: A refresher on basic statistics and an introduction to R Considerations and techniques for the visual display of data through graphics An overview of statistical hypothesis tests and the reasoning behind them A comprehensive guide to the use of the linear model, the foundation of most statistics encountered An introduction to extensions to the linear model for commonly encountered scenarios, including logistic and Poisson regression Instruction on how to plan and design experiments in a way that minimizes cost and maximizes the chances of finding differences that may exist Focusing on forensic examples but useful for anyone working in a laboratory, this volume enables researchers to get the most out of their experiments by allowing them to cogently analyze the data they have collected, saving valuable time and effort.

Statistics and the Evaluation of Evidence for Forensic Scientists

Author: C. G. G. Aitken
Publisher: John Wiley & Sons
ISBN: 0470843675
Release Date: 2004-08-13
Genre: Mathematics

The use of statistical and probabilistic ideas in forensic scienceis of increasing importance to the administration of justice. Thisis exemplified by their role in the evaluation and interpretationof trace evidence, such as glass, fibres and DNA. They allow theforensic scientist to evaluate and interpret evidence where thereis an element of uncertainty. For many years, Statistics and the Evaluation of Evidence forForensic Scientists has been considered the leading text in thestatistical evaluation of forensic evidence. It is highly regardedamongst forensic scientists. This new edition is fully updated,covering many new topics of interest, and includes coverage of newfields of evidence. It features new examples concerned withup-to-date data sets, and a chapter on evidence evaluation usingBayesian nets. Provides a comprehensive introduction to the statisticalevaluation of forensic evidence. Features new material on glass interpretation, fibresinterpretation and Bayesian nets. Includes new material on the analysis of multi variate data,useful, for example, in problems involving elemental or chemicalcompositions. Illustrated throughout with examples using real up-to-datedata. Assumes only a modest mathematical background. Includes a foreword by Dennis Lindley. The clarity of exposition makes this book ideal for all forensicscientists, lawyers and other professionals in related fieldsinterested in the quantitative assessment and evaluation offorensic evidence. It is also suitable for graduate studentsstudying courses in the statistical evaluation of evidence. 'There can be no doubt that the appreciation of some evidencein a court of law has been greatly enhanced by the sound use ofstatistical ideas and one can be confident that the next decadewill see further developments, during which time this book willadmirably serve those who have cause to use statistics in forensicscience.' D.V. Lindley

Statistical Analysis in Forensic Science

Author: Grzegorz Zadora
Publisher: John Wiley & Sons
ISBN: 9780470972106
Release Date: 2014-02-03
Genre: Mathematics

A practical guide for determining the evidential value of physicochemical data Microtraces of various materials (e.g. glass, paint, fibres, and petroleum products) are routinely subjected to physicochemical examination by forensic experts, whose role is to evaluate such physicochemical data in the context of the prosecution and defence propositions. Such examinations return various kinds of information, including quantitative data. From the forensic point of view, the most suitable way to evaluate evidence is the likelihood ratio. This book provides a collection of recent approaches to the determination of likelihood ratios and describes suitable software, with documentation and examples of their use in practice. The statistical computing and graphics software environment R, pre-computed Bayesian networks using Hugin Researcher and a new package, calcuLatoR, for the computation of likelihood ratios are all explored. Statistical Analysis in Forensic Science will provide an invaluable practical guide for forensic experts and practitioners, forensic statisticians, analytical chemists, and chemometricians. Key features include: Description of the physicochemical analysis of forensic trace evidence. Detailed description of likelihood ratio models for determining the evidential value of multivariate physicochemical data. Detailed description of methods, such as empirical cross-entropy plots, for assessing the performance of likelihood ratio-based methods for evidence evaluation. Routines written using the open-source R software, as well as Hugin Researcher and calcuLatoR. Practical examples and recommendations for the use of all these methods in practice.

Statistical DNA Forensics

Author: Wing Kam Fung
Publisher: John Wiley & Sons
ISBN: 0470727039
Release Date: 2008-04-15
Genre: Mathematics

Statistical methodology plays a key role in ensuring that DNA evidence is collected, interpreted, analyzed and presented correctly. With the recent advances in computer technology, this methodology is more complex than ever before. There are a growing number of books in the area but none are devoted to the computational analysis of evidence. This book presents the methodology of statistical DNA forensics with an emphasis on the use of computational techniques to analyze and interpret forensic evidence.

An Introduction to Forensic Genetics

Author: William Goodwin
Publisher: John Wiley & Sons
ISBN: 9780470010259
Release Date: 2007-11-27
Genre: Science

An Introduction to Forensic Genetics is a comprehensive introduction to this fast moving area from the collection of evidence at the scene of a crime to the presentation of that evidence in a legal context. The last few years have seen significant advances in the subject and the development and application of genetics has revolutionised forensic science. This book begins with the key concepts needed to fully appreciate the subject and moves on to examine the latest developments in the field, illustrated throughout with references to relevant casework. In addition to the technology involved in generating a DNA profile, the underlying population biology and statistical interpretation are also covered. The evaluation and presentation of DNA evidence in court is discussed as well with guidance on the evaluation process and how court reports and statements should be presented. An accessible introduction to Forensic Genetics from the collection of evidence to the presentation of that evidence in a legal context Includes case studies to enhance student understanding Includes the latest developments in the field focusing on the technology used today and that which is likely to be used in the future Accessible treatment of population biology and statistics associated with forensic evidence This book offers undergraduate students of Forensic Science an accessible approach to the subject that will have direct relevance to their courses. An Introduction to Forensic Genetics is also an invaluable resource for postgraduates and practising forensic scientists looking for a good introduction to the field.

CSI Forensik f r Dummies

Author: Douglas P. Lyle
Publisher: John Wiley & Sons
ISBN: 9783527704699
Release Date: 2008-11-01
Genre:

CSI, CSI Miami, CSI New York, Crossing Jordan: Der Ermittler von heute ist Wissenschaftler, klug und manchmal exzentrisch. So ist das zumindest im Fernsehen, aber wie sieht es in der Wirklichkeit aus? Wie erkennt man an einer Schädelverletzung die Todesursache, wie funktioniert die Untersuchung von Projektilen, welche Möglichkeiten bietet die DNA-Analyse? Douglas P. Lyle klärt Sie in diesem preisgekrönten Buch über die Arbeit der Kriminaltechniker auf und stellt Ihnen bekannte und kuriose Fälle sowie deren Lösung vor.

Criminal Justice and Forensic Science

Author: Lisa Smith
Publisher: Macmillan International Higher Education
ISBN: 9781137310279
Release Date: 2014-12-12
Genre: Social Science

An accessible guide for students across a variety of disciplines who are studying forensic evidence throughout the criminal justice system. Containing up to date and classic case studies, photos and examples, it assumes no prior scientific knowledge to ensure the discussion is clear but comprehensive.

Forensic Interpretation of Glass Evidence

Author: James Michael Curran
Publisher: CRC Press
ISBN: 1420042432
Release Date: 2000-06-27
Genre: Law

Intended for forensic scientists and students of the discipline, Forensic Interpretation of Glass Evidence provides the practicing forensic scientist with the necessary statistical tools and methodology to introduce forensic glass evidence into the laboratory. With free software available for downloading at the author's Web site, scientists can apply their own data and draw conclusions using principles practiced in the text. This book contains an introductory chapter on glass evidence procedures and analysis before covering topics such as classical approaches to handling glass evidence, the application of Bayesian statistics to forensic science, and the use of histograms. By presenting both the physical and chemical examinations performed on glass along with a recommended interpretation, the author allows readers the luxury of having all reference materials contained within a single book. Useful for case-working forensic scientists, this book is ideal for students of forensic science at both the undergraduate and graduate levels, as well anyone currently working in the field.

Introduction to Statistical Methods in Modern Genetics

Author: M.C. Yang
Publisher: CRC Press
ISBN: 9056991345
Release Date: 2000-02-23
Genre: Mathematics

Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application. Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn: How a gene is found How scientists have separated the genetic and environmental aspects of a person's intelligence How genetics are used in agriculture to improve crops and domestic animals What a DNA fingerprint is and why there are controversies about it Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entrée into the rapidly expanding world of genetic data analysis.

Weight of Evidence for Forensic DNA Profiles

Author: David J. Balding
Publisher: John Wiley & Sons
ISBN: 9780470867662
Release Date: 2005-04-08
Genre: Mathematics

Assessing Weight-of-Evidence for DNA Profiles is an excellent introductory text to the use of statistical analysis for assessing DNA evidence. It offers practical guidance to forensic scientists with little dependence on mathematical ability as the book includes background information on statistics – including likelihood ratios – population genetics, and courtroom issues. The author, who is highly experienced in this field, has illustrated the book throughout with his own experiences as well as providing a theoretical underpinning to the subject. It is an ideal choice for forensic scientists and lawyers, as well as statisticians and population geneticists with an interest in forensic science and DNA.