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…

[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 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..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 368, [GW: 557g], 2012, Banküberweisung, PayPal, Klarna-Sofortüberweisung, [CT: Sonstiges / Sonstiges]<

2011, 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…

[EAN: 9781461413011], Neubuch, [SC: 0.0], [PU: Springer New York], BIOSTATISTIK; STATISTIK / RAPPLICATIONS, Druck auf Anfrage Neuware - Printed after ordering - 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., Books<

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…

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. New Textbooks>Trade Paperback>Medicine>Health Professions>Lab Medicine, Springer New York Core >1 >T<

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…

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., Springer<

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…

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, Kategorien, Bücher, Grundlagen, Medizin & Gesundheitsdienste, Fachbücher, Statistik, Naturwissenschaft & Mathematik, Ingenieurwissenschaft & Technik, Naturwissenschaften & Technik, Biostatistik, Biologie, Biowissenschaften, Format: Illustriert, Springer, 2011<