ISBN: 9781461413028
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical conce… Plus…
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ISBN: 9781461413028
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical conce… Plus…
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ISBN: 9781461413028
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ISBN: 9781461413028
Biostatistics with R is designed to mimic the interaction between theory and application in statistics. Topics include data exploration, estimation, and clustering with two appendices on … Plus…
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ISBN: 9781461413028
Statistics; Statistics for Life Sciences, Medicine, Health Sciences Biostatistics, R applications Books eBook, Springer Nature
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ISBN: 9781461413028
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical conce… Plus…
ISBN: 9781461413028
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical conce… Plus…
ISBN: 9781461413028
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical conce… Plus…
ISBN: 9781461413028
Biostatistics with R is designed to mimic the interaction between theory and application in statistics. Topics include data exploration, estimation, and clustering with two appendices on … Plus…
ISBN: 9781461413028
Statistics; Statistics for Life Sciences, Medicine, Health Sciences Biostatistics, R applications Books eBook, Springer Nature
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Informations détaillées sur le livre - Biostatistics with R
EAN (ISBN-13): 9781461413028
ISBN (ISBN-10): 1461413028
Date de parution: 2011
Editeur: Springer New York
352 Pages
Langue: eng/Englisch
Livre dans la base de données depuis 2012-06-12T11:01:48+02:00 (Paris)
Page de détail modifiée en dernier sur 2024-01-22T21:31:01+01:00 (Paris)
ISBN/EAN: 1461413028
ISBN - Autres types d'écriture:
1-4614-1302-8, 978-1-4614-1302-8
Autres types d'écriture et termes associés:
Auteur du livre: baba, stuart galbraith
Titre du livre: introduction statistics
Données de l'éditeur
Auteur: Babak Shahbaba
Titre: Use R! Biostatistics with R - An Introduction to Statistics Through Biological Data
Editeur: Springer; Springer US
352 Pages
Date de parution: 2011-12-15
New York; NY; US
Langue: Anglais
80,24 € (DE)
82,50 € (AT)
88,50 CHF (CH)
Available
XVI, 352 p. 162 illus., 73 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Medizin/Allgemeines; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Biostatistics; R applications; A; Statistics for Life Sciences, Medicine, Health Sciences; Biostatistics; Mathematics and Statistics; BC
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis.
This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.
Introduction.- Data Exploration.- Exploring Relationships.- Probability.- Random Variables and Probability Distribtions.- Estimation.- Hypothesis Testing.- Testing a Hypothesis on the Relatinoship Between Two Variables.- Analysis of Variance.- Analysis of Categorial Variables.- Regression Analysis.- Clustering.- Bayesian Analysis.
Discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools
Topics are motivated by real examples
Intended for a wide range of readers
Includes supplementary material: sn.pub/extras
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