Introduction to data analysis with R for forensic scientists / / James Michael Curran

• Autore: Curran James Michael
• Pubblicazione: Boca Raton, FL, : CRC Press, 2010
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (324 p.)
• Disciplina: 363.25/6028552
• Soggetto topico: Forensic sciences - Statistical methods; Forensic statistics; Forensic sciences - Data processing; Criminal investigation - Data processing; R (Computer program language)
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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
• Sommario/riassunto: 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 employ
• Titolo autorizzato: Introduction to data analysis with R for forensic scientists
• ISBN: 1-138-38144-6; 0-429-25021-5; 1-4200-8827-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910815397903321
• Lo trovi qui: Univ. Federico II
• Serie: International forensic science and investigation series.