New Statistics with R: An Introduction for Biologists

Statistical methods are essential for analyzing scientific data, and this textbook provides an up-to-date introduction to linear model analysis, emphasizing an estimation-based approach and introducing information criteria. It is suitable for students, professional researchers, and practitioners in ecology, evolution, and environmental studies.

\n Format: Hardback
\n Length: 288 pages
\n Publication date: 17 June 2021
\n Publisher: Oxford University Press
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Statistical methods hold immense importance as a fundamental tool for scientists engaged in data analysis, spanning across various scientific disciplines. However, the challenge of mastering these techniques persists for successive generations of students. This textbook aims to provide a comprehensive and accessible introduction to linear model analysis, a highly valuable approach for examining scientific data within the realms of life and environmental sciences. While certain foundational analyses, such as t tests, regression, and ANOVA, remain timeless and invaluable, best practices evolve, leading to the emergence of numerous exciting new developments. The book emphasizes an estimation-based approach that incorporates recent critiques of overreliance on probability values, introducing an alternative approach that utilizes information criteria.

This revised edition incorporates the latest advancements in R and related software, ensuring its relevance and effectiveness in teaching linear and generalized linear model analysis to students specializing in ecology, evolution, and environmental studies. While R serves as a prominent tool throughout, the primary focus remains steadfast on statistical analysis. The New Statistics with R is designed to cater to senior undergraduate and graduate students, professional researchers, and practitioners in these fields.

In conclusion, this textbook serves as a valuable resource for individuals seeking to delve into the world of statistical analysis, offering a comprehensive and up-to-date introduction to linear model analysis. Its accessibility, emphasis on estimation-based approaches, and integration of recent developments make it an ideal tool for students, researchers, and practitioners alike, empowering them to unlock the insights hidden within scientific data.

\n Weight: 694g\n
Dimension: 183 x 248 x 20 (mm)\n
ISBN-13: 9780198798170\n
Edition number: 2 Revised edition\n