Biostatistics with R Biostatistics with R
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Biostatistics with R

An Introduction to Statistics Through Biological Data

    • ‏69٫99 US$
    • ‏69٫99 US$

وصف الناشر

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. 

النوع
تخصصات مهنية وتقنية
تاريخ النشر
٢٠١١
١٥ ديسمبر
اللغة
EN
الإنجليزية
عدد الصفحات
٣٦٨
الناشر
Springer New York
البائع
Springer Nature B.V.
الحجم
٦٫١
‫م.ب.‬
Biostatistics Biostatistics
٢٠٠٦
Statistics for Anthropology: Second Edition Statistics for Anthropology: Second Edition
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Statistical Methods Statistical Methods
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Starting Out in Statistics Starting Out in Statistics
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Statistics Using IBM SPSS: Third Edition Statistics Using IBM SPSS: Third Edition
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Statistics for Data Scientists Statistics for Data Scientists
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ggplot2 ggplot2
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Data Mining with Rattle and R Data Mining with Rattle and R
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Data Manipulation with R Data Manipulation with R
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Introductory Time Series with R Introductory Time Series with R
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Business Analytics for Managers Business Analytics for Managers
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A Beginner's Guide to R A Beginner's Guide to R
٢٠٠٩