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Biostatistics with R : An Introduction to Statistics Through Biological Data - Michael Orey
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Biostatistics with R : An Introduction to Statistics Through Biological Data - libro nuevo

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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… Más…

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Biostatistics with R - Babak Shahbaba
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Babak Shahbaba:

Biostatistics with R - libro nuevo

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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… Más…

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Biostatistics with R
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Biostatistics with R - libro nuevo

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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… Más…

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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 - libro nuevo

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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 … Más…

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Biostatistics with R - Babak Shahbaba
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Babak Shahbaba:
Biostatistics with R - libro nuevo

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. Gastos de envío:zzgl. Versandkosten., más gastos de envío

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Detalles del libro

Detalles del libro - Biostatistics with R


EAN (ISBN-13): 9781461413028
ISBN (ISBN-10): 1461413028
Año de publicación: 2011
Editorial: Springer New York
352 Páginas
Idioma: eng/Englisch

Libro en la base de datos desde 2012-06-12T11:01:48+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-01-22T21:31:01+01:00 (Madrid)
ISBN/EAN: 1461413028

ISBN - escritura alterna:
1-4614-1302-8, 978-1-4614-1302-8
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: baba, stuart galbraith
Título del libro: introduction statistics


Datos del la editorial

Autor: Babak Shahbaba
Título: Use R! Biostatistics with R - An Introduction to Statistics Through Biological Data
Editorial: Springer; Springer US
352 Páginas
Año de publicación: 2011-12-15
New York; NY; US
Idioma: Inglés
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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