From Experimental Network to Meta-analysis Methods and Applications with R for Agronomic and Environmental Sciences /
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...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.