From Experimental Network to Meta-analysis
Methods and Applications with R for Agronomic and Environmental Sciences
Seiten
2019
|
1st ed. 2019
Springer (Verlag)
978-94-024-1695-4 (ISBN)
Springer (Verlag)
978-94-024-1695-4 (ISBN)
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.
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.
Erscheinungsdatum | 23.05.2019 |
---|---|
Zusatzinfo | 43 Illustrations, color; 26 Illustrations, black and white; X, 155 p. 69 illus., 43 illus. in color. |
Verlagsort | Dordrecht |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Mathematik |
Naturwissenschaften ► Biologie ► Botanik | |
Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei | |
Schlagworte | Agriculture • data analyses • research synthesis • R software • Statistical Models |
ISBN-10 | 94-024-1695-1 / 9402416951 |
ISBN-13 | 978-94-024-1695-4 / 9789402416954 |
Zustand | Neuware |
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