The New Statistics with R
An Introduction for Biologists
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Product details:
- Edition number 2
- Publisher OUP Oxford
- Date of Publication 17 June 2021
- ISBN 9780198798187
- Binding Paperback
- No. of pages278 pages
- Size 240x168x12 mm
- Weight 546 g
- Language English
- Illustrations 60 colour line figures and 6 colour illustrations/screenshots 96
Categories
Short description:
A proven textbook based on materials developed over the last decade to teach linear, generalized, and mixed model analysis to students of ecology, evolution, and environmental studies. While R is used throughout, the focus is firmly on statistical analysis.
MoreLong description:
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.
Review from previous edition The book is suitable for undergraduate and graduate students, researchers and practitioners in biological sciences. I found it refreshing and worthy of wide use.
Table of Contents:
Introduction
Motivation
Description
Reproducible Research
Estimation
Linear Models
Regression
Prediction
Testing
Intervals
Analysis of Variance
Factorial Designs
Analysis of Covariance
Linear Model Complexities
Generalized Linear Models
GLMs for Count Data
Binomial GLMs
GLMs for Binary Data
Conclusions
A Very Short Introduction to R