From Experimental Network to Meta-analysis - Methods and Applications with R for Agronomic and Environmental Sciences

This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.

List of contents

Chapter 1. Introduction and examples.- Part I. Analysis of experimental networks.- Chapter 2. Basic Concepts.- Chapter 3. Analysis of network of experiments in blocks of complete randomness as a studied factor.- Chapter 4. Advanced Methods for Network Analysis.- Chapter 5. Planning an Experimental Network.- Part II. The meta-analysis.- Chapter 6. Basics for meta-analysis.- Chapter 7. Specific statistical problems for the meta-analysis.- Annex. R resources to implement the methods of analysis networks and meta-analysis.- Package Codes.

Summary

This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.

Report

"I would recommend the Meta-analysis in medical research book, or the R meta-analysis tutorials that compare different R packages." (Ramzi El Feghali, ISCB News, iscb.info, Issue 69, July, 2020)

Product details

• Authors: François Brun, Davi Makowski, David Makowski, Françoi Piraux, François Piraux
• Publisher: Springer Netherlands
• Languages: English
• Product format: Hardback
• Released: 31.07.2019
• EAN: 9789402416954
• ISBN: 978-94-0-241695-4
• No. of pages: 155
• Dimensions: 156 mm x 243 mm x 13 mm
• Weight: 424 g
• Illustrations: X, 155 p. 69 illus., 43 illus. in color.
• Subjects: Natural sciences, medicine, IT, technology > Biology > Agriculture, horticulture; forestry, fishing, food; B, Statistics, Botany, The environment, Agriculture, environmental science, engineering & technology, Statistical Theory and Methods, Biomedical and Life Sciences, Botany & plant sciences, Probability & statistics, Environmental Sciences, Plant Science, Plant Sciences, Environmental Science and Engineering