Statistics
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Statistics

An Introduction Using R
 E-Book
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781118941102
Veröffentl:
2014
Einband:
E-Book
Seiten:
360
Autor:
Michael J. Crawley
eBook Typ:
EPUB
eBook Format:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

"e;...I know of no better book of its kind..."e; (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.
"...I know of no better book of its kind..." (Journal ofthe Royal Statistical Society, Vol 169 (1), January2006)A revised and updated edition of this bestselling introductorytextbook to statistical analysis using the leading free softwarepackage RThis new edition of a bestselling title offers a conciseintroduction to a broad array of statistical methods, at a levelthat is elementary enough to appeal to a wide range ofdisciplines. Step-by-step instructions help thenon-statistician to fully understand the methodology. Thebook covers the full range of statistical techniques likely to beneeded to analyse the data from research projects, includingelementary material like t--tests and chi--squared testsintermediate methods like regression and analysis of variance, andmore advanced techniques like generalized linear modelling.Includes numerous worked examples and exercises within eachchapter.

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