NEW STATISTICS WITH R: AN INTRODUCTION FOR BIOLOGISTS
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Book Details
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Author: Andy Hector
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Publisher: Oxford University Press
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Edition: Illustrated
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Binding: Paperback
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ISBN: 9780198729068
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Pages: 224
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Release Date: 29-01-2015
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Dimensions: 9.4 x 6.5 x 0.6 inches
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Languages: English
About the Book
The New Statistics with R offers an approachable introduction to statistical methods, with a focus on linear model analysis, which is pivotal in scientific data analysis across various disciplines, especially in biology, ecology, evolution, and environmental science. This book emphasizes an estimation-based approach, addressing recent criticisms of probability values and introducing alternative methods through information criteria.
The book’s structure reflects Andy Hector's 20 years of teaching experience in the field, making complex statistical techniques accessible for both undergraduate and graduate students, as well as professional researchers. It uses R, an open-source programming language for statistics and graphics, which has become the standard tool in modern scientific data analysis. Real-world data sets from ecology, evolutionary biology, and environmental science are used throughout, offering practical examples that help readers apply their learning directly to the data sets they may encounter in their own research.
With its clear explanations, step-by-step worked analyses, and accessible style, this book is perfect for those looking to enhance their statistical skills without getting bogged down in overly technical mathematics. Moreover, support materials, including data sets and R scripts, are available through the author’s website, helping readers further engage with the content and practice their skills.
Key Features:
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Contemporary introduction to classical and modern statistical techniques.
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Focus on linear model analysis, a core tool for life and environmental scientists.
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Critiques the over-use of probability values and introduces information criteria.
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Worked analyses in R using real data from ecology, evolution, and environmental science.
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Available support material (data sets, R scripts) for practical use.
This book is essential for senior undergraduate students, graduate researchers, and practitioners in fields like ecology, evolutionary biology, and computational biology, who want to strengthen their statistical skills using R and contemporary methods.