| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910337956203321 |
|
|
Autore |
Makowski David |
|
|
Titolo |
From Experimental Network to Meta-analysis : Methods and Applications with R for Agronomic and Environmental Sciences / / by David Makowski, François Piraux, François Brun |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2019 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2019.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (160 pages) : illustrations |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Agriculture |
Botany |
Statistics |
Ecology |
Plant Science |
Statistical Theory and Methods |
Environmental Sciences |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
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. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
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. |
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910502644403321 |
|
|
Autore |
Lambiase Gaetano |
|
|
Titolo |
The Interaction of Spin with Gravity in Particle Physics : Low Energy Quantum Gravity / / by Gaetano Lambiase, Giorgio Papini |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2021.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (201 pages) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Physics, , 1616-6361 ; ; 993 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Gravitation |
Particles (Nuclear physics) |
General relativity (Physics) |
Quantum theory |
Special relativity (Physics) |
Astrophysics |
Classical and Quantum Gravity |
Particle Physics |
General Relativity |
Quantum Physics |
Special Relativity |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
1. Quantum Systems In Gravitational Fields. Berry Phases -- 2. The Mashhoon Effect. Spin-Gravity Interactions -- 3. Interferometers in Gravitational Fields -- 4. Neutrinos in Gravitational Fields -- 5. Neutrinos Physics: further topics -- 6. Radiative Processes, Spin Currents, Vortices -- 7. Other developments -- 8. Perspectives -- 9. Conclusions. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book seeks to present a new way of thinking about the interaction of gravitational fields with quantum systems. Despite the massive amounts of research and experimentation, the myriad meetings, seminars and conferences, all of the articles, treatises and books, and the seemingly endless theorization, quantization and just plain speculation that have been engaged in regarding our evolving understanding of the quantum world, that world remains an enigma, even to the experts. The usefulness of general relativity in this regard has proven to be imperfect at best, but there is a new approach. We do not simply have to accept the limitations of Einstein's most celebrated theorem in regard to quantum theory; we can also embrace them, and thereby utilize them, to reveal new facts about the behavior of quantum systems within inertial and gravitational fields, and therefore about the very structure of space–time at the quantum level. By taking existing knowledge of the essential functionality of spin (along with the careful identification of the omnipresent inertial effects) and applying it to the quantum world, the book gives the reader a much clearer picture of the difference between the classical and quantum behaviors of a particle, shows that Einstein's ideas may not be as incompatible within this realm as many have come to believe, sparks new revelations of the way in which gravity affects quantum systems and brings a new level of efficiency—quantum efficiency, if you will—to the study of gravitational theory. |
|
|
|
|
|
|
|
| |