Advanced Statistical Methods for Astrophysical Probes of Cosmology

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013

Abstract/Sommario: Introduction -- Cosmology background -- Dark energy and apparent late time acceleration -- Supernovae Ia -- Statistical techniques -- Bayesian Doubt: Should we doubt the Cosmological Constant? -- Bayesian parameter inference for SNeIa data -- Robustness to Systematic Error for Future Dark Energy Probes -- Summary and Conclusions -- Index. - This thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and ...; [leggi tutto]

Copertina Advanced Statistical Methods for Astrophysical Probes of Cosmology

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Dettagli
Risorse digitali

Dettagli

Campo	Valore
Descrizione	Advanced Statistical Methods for Astrophysical Probes of Cosmology / by Marisa Cristina March. - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013. - XX, 177 p. 46 ill., 11 ill. in color ; digital. - (Springer Theses, Recognizing Outstanding Ph.D. Research)
Specifiche	[Supporto spec. Risorsa elettr.] Risorsa remota
Note	Springer eBooks. - Printed edition: 9783642350597
Collezione	[Fa parte di] Springer Theses, Recognizing Outstanding Ph.D. Research [Vai al dettaglio]
Autori	March, Marisa Cristina - [Responsabilità principale] SpringerLink (Online service) - [Responsabilità secondaria]
Soggetto	Astronomy, Observations and Techniques COSMOLOGY Physics Statistical Physics, Dynamical Systems and Complexity Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Classificazione	523.1 - Universo, galassie, quasar
Lingua	Inglese
Numeri	ISBN: 978-3-642-35060-3 DOI: 10.1007/978-3-642-35060-3 N. catalogo straniero: QB980-991 (Library of Congress Call Number)
ID scheda	130126
Permalink	https://www.opac.inaf.it/?ids=130126