Statistical methods are a key tool for all scientists working with
data, but learning the basics continues to challenge successive
generations of students. This accessible textbook provides an
up-to-date introduction to the classical techniques and modern
extensions of linear model analysis-one of the most useful
approaches for investigating scientific data in the life and
environmental sciences. While some of the foundational analyses
(e.g. t tests, regression, ANOVA) are as useful now as ever, best
practice moves on and there are many new general developments that
offer great potential. The book emphasizes an estimation-based
approach that takes account of recent criticisms of over-use of
probability values and introduces the alternative approach that
uses information criteria. This new edition includes the latest
advances in R and related software and has been thoroughly
"road-tested" over the last decade to create a proven textbook that
teaches linear and generalized linear model analysis to students of
ecology, evolution, and environmental studies (including worked
analyses of data sets relevant to all three disciplines). While R
is used throughout, the focus remains firmly on statistical
analysis. The New Statistics with R is suitable for senior
undergraduate and graduate students, professional researchers, and
practitioners in the fields of ecology, evolution and environmental
studies.
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Review This Product
A really good statics book
Sun, 25 Sep 2022 | Review
by: Josephine P.
This is a really easy to follow R book, suitable for novices as well as more experienced students of statistics. I really like the writing style and progressive ordering of the chapters. I've got out librarian to order copies for the library as I recommend it as a text for higher undergraduate / postgraduate students
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