SpringerBriefs in Statistics

Model Averaging

Autoren: Fletcher, David

Vorschau
  • Provides an overview of current model averaging methods, with an emphasis on applications
  • Compares the frequentist and Bayesian approaches to model averaging
  • Includes an extensive list of references and suggestions for further research
Weitere Vorteile

Dieses Buch kaufen

eBook 46,00 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-58541-2
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Softcover 58,84 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-58540-5
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Buch

This book provides a concise and accessible overview of model averaging, with a focus on applications. Model averaging is a common means of allowing for model uncertainty when analysing data, and has been used in a wide range of application areas, such as ecology, econometrics, meteorology and pharmacology. The book presents an overview of the methods developed in this area, illustrating many of them with examples from the life sciences involving real-world data. It also includes an extensive list of references and suggestions for further research. Further, it clearly demonstrates the links between the methods developed in statistics, econometrics and machine learning, as well as the connection between the Bayesian and frequentist approaches to model averaging. The book appeals to statisticians and scientists interested in what methods are available, how they differ and what is known about their properties. It is assumed that readers are familiar with the basic concepts of statistical theory and modelling, including probability, likelihood and generalized linear models.

Über den Autor

David Fletcher is an Associate Professor of Statistics at the University of Otago in Dunedin, New Zealand. His research interests developed primarily from collaboration with other scientists, particularly ecologists. He has developed new methods in a range of areas, including experimental design, mark-recapture, meta-regression, model averaging, population dynamics, overdispersion and zero-inflated data. 


Inhaltsverzeichnis (4 Kapitel)

Inhaltsverzeichnis (4 Kapitel)

Dieses Buch kaufen

eBook 46,00 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-58541-2
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Softcover 58,84 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-58540-5
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Model Averaging
Autoren
Titel der Buchreihe
SpringerBriefs in Statistics
Copyright
2018
Verlag
Springer-Verlag Berlin Heidelberg
Copyright Inhaber
The Author(s), under exclusive licence to Springer-Verlag GmbH, DE, part of Springer Nature
eBook ISBN
978-3-662-58541-2
DOI
10.1007/978-3-662-58541-2
Softcover ISBN
978-3-662-58540-5
Buchreihen ISSN
2191-544X
Auflage
1
Seitenzahl
X, 107
Anzahl der Bilder
4 schwarz-weiß Abbildungen
Themen