Introduction to data analysis with R for forensic scientists /

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 S...

Full description

Bibliographic Details
Main Author:	Curran, James Michael (Author)
Corporate Authors:	Taylor & Francis, ProQuest (Firm)
Format:	eBook
Language:	English
Language Notes:	English.
Published:	Boca Raton, FL : CRC Press, 2010.
Series:	International forensic science and investigation series.
Subjects:	Forensic sciences > Statistical methods. Forensic statistics. Forensic sciences > Data processing. Criminal investigation > Data processing. R (Computer program language) Criminalistique > Méthodes statistiques. Statistiques légales. Criminalistique > Informatique. Enquêtes criminelles > Informatique. R (Langage de programmation) Criminal investigation > Data processing Forensic sciences > Data processing Forensic sciences > Statistical methods Forensic statistics Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Front cover; Dedication; About the author; Acknowledgments; Contents; List of Figures; List of Tables; Chapter 1: Introduction; Chapter 2: Basic statistics; Chapter 3: Graphics; Chapter 4: Hypothesis tests and sampling theory; Chapter 5: The linear model; Chapter 6: Modeling count and proportion data; Chapter 7: The design of experiments; Bibliography; Back cover