From experimental network to meta-analysis : methods and applications with R for agronomic and environmental sciences / David Makowski, François Piraux, François Brun.
Makowski, David, author.; Piraux, François, author.; Brun, Francois, 1979- author.
2019
QA402 .M35 2019
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
From experimental network to meta-analysis : methods and applications with R for agronomic and environmental sciences / David Makowski, François Piraux, François Brun.
Author
Makowski, David, author.
ISBN
9789402416961 (electronic book)
940241696X (electronic book)
9789402416954
DOI
https://doi.org/10.1007/978-94-024-1
Published
Dordrecht, The Netherlands : Springer, [2019]
Language
English
Description
1 online resource
Item Number
10.1007/978-94-024-1
Call Number
QA402 .M35 2019
Dewey Decimal Classification
003
Summary
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 on different experimental protocols, are generally heterogeneous. Sometimes they are not even directly accessible and should be extracted from scientific articles or reports. However, a comprehensive analysis of the available data is essential to increase the accuracy of estimates, assess the validity of research conclusions and understand the origin of the variability of the experimental results. A quantitative synthesis of the data set available allows for a better understanding of the effects of explanatory factors and for evidence-based recommendations. Designed as a methodological guide, this book 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. Our objective is to present the main statistical methods to analyze data from experimental networks and scientific publications. Each chapter exposes one or more methods and illustrates them with examples processed with the R software. Data and R codes are provided and commented in order to facilitate their adaptation to other situations. The codes can be reused from the KenSyn R package associated with this book.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from digital title page (viewed on June 14, 2019).
Added Author
Piraux, François, author.
Brun, Francois, 1979- author.
Available in Other Form
From Experimental Network to Meta-Analysis : Methods and Applications with R for Agronomic and Environmental Sciences
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export