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

• Main Authors: Makowski, David (Author, http://id.loc.gov/vocabulary/relators/aut), Piraux, François (http://id.loc.gov/vocabulary/relators/aut), Brun, François (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Agriculture.; Plant science.; Botany.; Statistics .; Environmental sciences.; Plant Sciences.; Statistical Theory and Methods.; Environmental Science and Engineering.

Data analysis plays an increasing role in research, scientific expertise and prospective studies. Multiple data sources are often available to estimate a key parameter or to test a hypothesis of scientific or societal interest. These data, obtained under different environmental conditions or based o...

Table 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.