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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	April 2017
Genre:	Schulbücher
	Astronomie, Raum und Zeit / astronomy / Astronomy, Astrophysics and Cosmology / Astronomy, Cosmology and Space Sciences / Astrophysics / Astrophysics and Astroparticles / Astrophysik / B / Mathematics and Statistics / Probability & statistics / Statistical Theory and Methods / Statistics / Theoretical & mathematical astronomy mehr...
ISBN:	9781493943548
EAN-Code:	9781493943548
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#03 - Springer Series in Astrostatistics
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	6166 gr
Seiten:	349
Illustration:	XIII, 349 p. 64 illus., 46 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book introduces "Astrostatistics" as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter's coverage of preliminary concepts and terminologies for astronomical phenomenon will appeal to both Statistics and Astrophysics readers as helpful context. Statistics concepts covered in the book provide a methodological framework. A unique feature is the inclusion of different possible sources of astronomical data, as well as software packages for converting the raw data into appropriate forms for data analysis. Readers can then use the appropriate statistical packages for their particular data analysis needs. The ideas of statistical inference discussed in the book help readers determine how to apply statistical tests. The authors cover different applications of statistical techniques already developed or specifically introduced for astronomical problems, including regression techniques, along with their usefulness for data set problems related to size and dimension. Analysis of missing data is an important part of the book because of its significance for work with astronomical data. Both existing and new techniques related to dimension reduction and clustering are illustrated through examples. There is detailed coverage of applications useful for classification, discrimination, data mining and time series analysis. Later chapters explain simulation techniques useful for the development of physical models where it is difficult or impossible to collect data. Finally, coverage of the many R programs for techniques discussed makes this book a fantastic practical reference. Readers may apply what they learn directly to their data sets in addition to the data sets included by the authors.