Introduction to Data Analysis with R for Forensic Scientists (PDF)
(Sprache: Englisch)
Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. Minimizing theory and mathematics, this book focuses on the application and practice of statistics used in data analysis. The book includes a...
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Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. Minimizing theory and mathematics, this book focuses on the application and practice of statistics used in data analysis. The book includes a refresher on basic statistics and an introduction to R, techniques for the visual display of data through graphics, an overview of statistical hypothesis tests, a comprehensive guide to the use of the linear model, an introduction to extensions to the linear model for commonly encountered scenarios, and instruction on how to plan and design experiments.
Autoren-Porträt von James Michael Curran
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).
Bibliographische Angaben
- Autor: James Michael Curran
- 2010, 1. Auflage, 331 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1420088270
- ISBN-13: 9781420088274
- Erscheinungsdatum: 30.07.2010
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.62 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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