Biostatistics with R | An Introduction to Statistics Through Biological Data | Babak Shahbaba | Taschenbuch | Use R! | Paperback | XVI | Englisch | 2011 | Springer US | EAN 9781461413011 - Taschenbuch
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2011, ISBN: 146141301X
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2011, ISBN: 9781461413011
Springer, Taschenbuch, Auflage: 2012, 368 Seiten, Publiziert: 2011-12-14T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 73 Illustrations, color; 89 Illustration, 1.24 kg, Medizin, Katego… Mehr…
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Biostatistics with R | An Introduction to Statistics Through Biological Data | Babak Shahbaba | Taschenbuch | Use R! | Paperback | XVI | Englisch | 2011 | Springer US | EAN 9781461413011 - Taschenbuch
2011, ISBN: 9781461413011
[ED: Taschenbuch], [PU: Springer US], Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The… Mehr…
Babak Shahbaba:
Biostatistics with R : An Introduction to Statistics Through Biological Data - Taschenbuch2011, ISBN: 146141301X
[EAN: 9781461413011], Neubuch, [SC: 0.0], [PU: Springer New York], BIOSTATISTIK; STATISTIK / RAPPLICATIONS, Druck auf Anfrage Neuware - Printed after ordering - Biostatistics with R is de… Mehr…
ISBN: 9781461413011
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… Mehr…
ISBN: 9781461413011
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… Mehr…
2011, ISBN: 9781461413011
Springer, Taschenbuch, Auflage: 2012, 368 Seiten, Publiziert: 2011-12-14T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 73 Illustrations, color; 89 Illustration, 1.24 kg, Medizin, Katego… Mehr…
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Detailangaben zum Buch - Biostatistics with R: An Introduction to Statistics Through Biological Data Babak Shahbaba Author
EAN (ISBN-13): 9781461413011
ISBN (ISBN-10): 146141301X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2012
Herausgeber: Springer New York Core >1 >T
368 Seiten
Gewicht: 0,556 kg
Sprache: Englisch
Buch in der Datenbank seit 2009-03-14T01:03:59+01:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-22T21:31:01+01:00 (Berlin)
ISBN/EAN: 9781461413011
ISBN - alternative Schreibweisen:
1-4614-1301-X, 978-1-4614-1301-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: baba
Titel des Buches: statistics with, introduction
Daten vom Verlag:
Autor/in: Babak Shahbaba
Titel: Use R! Biostatistics with R - An Introduction to Statistics Through Biological Data
Verlag: Springer; Springer US
352 Seiten
Erscheinungsjahr: 2011-12-14
New York; NY; US
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
85,59 € (DE)
87,99 € (AT)
94,50 CHF (CH)
POD
XVI, 352 p. 162 illus., 73 illus. in color.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Biostatistics; R applications; Biostatistics; EA
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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