Statistics (ePub)
An Introduction Using R
(Sprache: Englisch)
"...I know of no better book of its kind..." (Journal of
the Royal Statistical Society, Vol 169 (1), January
2006)
A revised and updated edition of this bestselling introductory
textbook to statistical analysis using the leading free software
package...
the Royal Statistical Society, Vol 169 (1), January
2006)
A revised and updated edition of this bestselling introductory
textbook to statistical analysis using the leading free software
package...
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Produktinformationen zu „Statistics (ePub)“
"...I know of no better book of its kind..." (Journal of
the Royal Statistical Society, Vol 169 (1), January
2006)
A revised and updated edition of this bestselling introductory
textbook to statistical analysis using the leading free software
package R
This new edition of a bestselling title offers a concise
introduction to a broad array of statistical methods, at a level
that is elementary enough to appeal to a wide range of
disciplines. Step-by-step instructions help the
non-statistician to fully understand the methodology. The
book covers the full range of statistical techniques likely to be
needed to analyse the data from research projects, including
elementary material like t--tests and chi--squared tests,
intermediate methods like regression and analysis of variance, and
more advanced techniques like generalized linear modelling.
Includes numerous worked examples and exercises within each
chapter.
the Royal Statistical Society, Vol 169 (1), January
2006)
A revised and updated edition of this bestselling introductory
textbook to statistical analysis using the leading free software
package R
This new edition of a bestselling title offers a concise
introduction to a broad array of statistical methods, at a level
that is elementary enough to appeal to a wide range of
disciplines. Step-by-step instructions help the
non-statistician to fully understand the methodology. The
book covers the full range of statistical techniques likely to be
needed to analyse the data from research projects, including
elementary material like t--tests and chi--squared tests,
intermediate methods like regression and analysis of variance, and
more advanced techniques like generalized linear modelling.
Includes numerous worked examples and exercises within each
chapter.
Autoren-Porträt von Michael J. Crawley
Michael J. Crawley, FRS, Department of Biological Sciences, Imperial College of Science, Technology and Medicine. Author of three bestselling Wiley statistics titles and five life science books.
Bibliographische Angaben
- Autor: Michael J. Crawley
- 2014, 2. Auflage, 360 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118941101
- ISBN-13: 9781118941102
- Erscheinungsdatum: 23.09.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 2.78 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
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