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… mais…
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ISBN: 9781461413028
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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… mais…
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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 … mais…
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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… mais…
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… mais…
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… mais…
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 … mais…
ISBN: 9781461413028
Statistics; Statistics for Life Sciences, Medicine, Health Sciences Biostatistics, R applications Books eBook, Springer Nature
Dados bibliográficos do melhor livro correspondente
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Dados detalhados do livro - Biostatistics with R
EAN (ISBN-13): 9781461413028
ISBN (ISBN-10): 1461413028
Ano de publicação: 2011
Editor/Editora: Springer New York
352 Páginas
Língua: eng/Englisch
Livro na base de dados desde 2012-06-12T10:01:48+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-01-22T20:31:01+00:00 (Lisbon)
Número ISBN/EAN: 9781461413028
Número ISBN - Ortografia alternativa:
1-4614-1302-8, 978-1-4614-1302-8
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: baba, stuart galbraith
Título do livro: introduction statistics
Dados da editora
Autor: Babak Shahbaba
Título: Use R! Biostatistics with R - An Introduction to Statistics Through Biological Data
Editora: Springer; Springer US
352 Páginas
Ano de publicação: 2011-12-15
New York; NY; US
Língua: Inglês
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
AdvancedBiostatistics 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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