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Biostatistics with R : An Introduction to Statistics Through Biological Data - Michael Orey
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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… Altro …

No. 9781461413028. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi
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Biostatistics with R - Babak Shahbaba
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Biostatistics with R - nuovo libro

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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… Altro …

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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… Altro …

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Biostatistics with R : An Introduction to Statistics Through Biological Data - Stuart Galbraith IV
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Biostatistics with R : An Introduction to Statistics Through Biological Data - nuovo libro

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 … Altro …

  - No. 9781461413028. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi
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Biostatistics with R - Babak Shahbaba
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Biostatistics with R - nuovo libro

ISBN: 9781461413028

Statistics; Statistics for Life Sciences, Medicine, Health Sciences Biostatistics, R applications Books eBook, Springer Nature

  - 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 installing and running R and R-commander. Costi di spedizione:zzgl. Versandkosten., Costi di spedizione aggiuntivi

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EAN (ISBN-13): 9781461413028
ISBN (ISBN-10): 1461413028
Anno di pubblicazione: 2011
Editore: Springer New York
352 Pagine
Lingua: eng/Englisch

Libro nella banca dati dal 2012-06-12T11:01:48+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2024-01-22T21:31:01+01:00 (Zurich)
ISBN/EAN: 1461413028

ISBN - Stili di scrittura alternativi:
1-4614-1302-8, 978-1-4614-1302-8
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : baba, stuart galbraith
Titolo del libro: introduction statistics


Dati dell'editore

Autore: Babak Shahbaba
Titolo: Use R! Biostatistics with R - An Introduction to Statistics Through Biological Data
Editore: Springer; Springer US
352 Pagine
Anno di pubblicazione: 2011-12-15
New York; NY; US
Lingua: Inglese
85,59 € (DE)
88,00 € (AT)
94,50 CHF (CH)
Available
XVI, 352 p. 162 illus., 73 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Biostatistics; R applications; A; 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.

From the reviews:

“It presents the statistical concepts/methods starting with biological examples and leads the reader using R commands as guidelines. The author uses all opportunities to emphasize the close connection between statistics and other fields, making this textbook a good start for interdisciplinary studies. … written for a broad range of readers, from undergraduates to researchers, from readers with a strong statistical background who wish to understand how to approach biological data sets, to readers who wish to use statistical methods to mine for information.” (Irina Ioana Mohorianu, zbMATH, Vol. 1275, 2014)

International Statistical Review, 81, 3, 2013, Review by Carl M.O’Brien

Advanced

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 elementary introduction to the basic of 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. 


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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