Gerry P. Quinn, Michael J. Keough

Experimental Design and Data Analysis for Biologists

• Gebundenes Buch

Produktbeschreibung

"Requiring only introductory statistics and basic mathematics, this textbook avoids jargon and provides worked examples, data sets and R code, and review exercises. Designed for advanced undergraduates and postgraduates studying biostatistics and experiment design in biology-related fields, it applies statistical concepts to biological scenarios"--

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 412
• Erscheinungstermin: 7. September 2023
• Englisch
• Abmessung: 260mm x 208mm x 27mm
• Gewicht: 1104g
• ISBN-13: 9781107036710
• ISBN-10: 1107036712
• Artikelnr.: 67743896

Autorenporträt

Gerry Quinn is an Honorary Professor in the School of Life and Environmental Sciences at Deakin University, having served as Chair in Marine Biology and Head of Warrnambool Campus during his academic career. He has extensive experience in teaching biostatistics at Deakin University and the University of Gothenburg.

Inhaltsangabe

Contents: List of Acronyms
Preface
1. Introduction
2. Things to Know Before Proceeding
3. Sampling and Experimental Design
4. Introduction to Linear Models
5. Exploratory Data Analysis
6. Simple Linear Models with One Predictor
7. Linear Models for Crossed (Factorial) Designs
8. Multiple Regression Models
9. Predictor Importance and Model Selection in Multiple Regression Models
10. Random Factors in Factorial and Nested Designs
11. Split-plot (Split-unit) Designs: Partly Nested Models
12. Repeated Measures Designs
13. Generalized Linear Models for Categorical Responses
14. Introduction to Multivariate Analyses
15. Multivariate Analyses Based on Eigenanalyses
16. Multivariate Analyses Based on (dis)similarities or Distances
17. Telling Stories with Data
References
Glossary
Index.