Experimental Design and Data Analysis for ...

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Beschreibung

"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"--

Über den Autor

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.

Inhaltsverzeichnis

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.

Erscheinungsjahr:	2023
Genre:	Technik allg.
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	405
ISBN-13:	9781107687677
ISBN-10:	1107687675
Einband:	Kartoniert / Broschiert
Autor:	Quinn, Gerry P. Keough, Michael J.
Hersteller:	Cambridge University Press
Maße:	203 x 254 x 20 mm
Von/Mit:	Gerry P. Quinn (u. a.)
Erscheinungsdatum:	07.09.2023
Gewicht:	0,988 kg

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