Practical statistics for astronomers /
"Astronomy needs statistical methods to interpret data, but statistics is a many-faceted subject which is difficult for non-specialists to access. This handbook helps astronomers analyze the complex data and models of modern astronomy. This second edition has been revised to feature many more e...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge [England] ; New York :
Cambridge University Press,
2012.
|
Edición: | 2nd ed. |
Colección: | Cambridge observing handbooks for research astronomers ;
8. |
Temas: | |
Acceso en línea: | Texto completo |
Sumario: | "Astronomy needs statistical methods to interpret data, but statistics is a many-faceted subject which is difficult for non-specialists to access. This handbook helps astronomers analyze the complex data and models of modern astronomy. This second edition has been revised to feature many more examples using Monte Carlo simulation, and now also includes Bayesian inference, Bayes factors and Markov Chain Monte Carlo integration. Chapters cover basic probability, correlation analysis, hypothesis testing, Bayesian modelling, time series analysis, luminosity functions and clustering. Exercises at the end of each chapter guide readers through the techniques and tests necessary for most observational investigations. The data tables from the book are available online at www.cambridge.org/9780521732499. Bringing together the most relevant statistical and probabilistic techniques for use in observational astronomy, this handbook is a practical manual for advanced undergraduate and graduate students and professional astronomers"-- |
---|---|
Descripción Física: | 1 online resource (xix, 353 pages) : illustrations |
Bibliografía: | Includes bibliographical references and index. |
ISBN: | 9781139379380 1139379380 9781139031998 1139031996 9781139376525 1139376527 1139375091 9781139375092 9780521519687 0521519683 |