Introduction to Data Analysis with R for Forensic Scientists

James Michael Curran

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Hardback

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English

CRC Press Inc
30 July 2010

Forensic science; Probability & statistics; Biology, life sciences; Mathematical & statistical software

Series: International Forensic Science and Investigation

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.

By: James Michael Curran
Imprint: CRC Press Inc
Country of Publication: United States
Volume: v. 21
Dimensions: Height: 234mm, Width: 156mm, Spine: 235mm
Weight: 770g
ISBN: 9781420088267
ISBN 10: 1420088262
Series: International Forensic Science and Investigation
Pages: 331
Publication Date: 30 July 2010
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Introduction. Basic statistics. Graphics. Hypothesis tests and sampling theory. The linear model. Modeling count and proportion data. The design of experiments.

James M. Curran is currently an Associate Professor of Statistics in the Department of Statistics at the University of Auckland (Auckland, New Zealand). Dr. Curran is also the co-director of the New Zealand Bioinformatics Institute at the University of Auckland (www.bioinformatics.org.nz).