Statistical Models for Proportions and Probabilities / SpringerBriefs in Statistics (PDF)
(Sprache: Englisch)
Methods for making inferences from data about one or more probabilities and proportions are a fundamental part of a statistician's toolbox and statistics courses. Unfortunately many of the quick, approximate methods currently taught have recently been found...
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Methods for making inferences from data about one or more probabilities and proportions are a fundamental part of a statistician's toolbox and statistics courses. Unfortunately many of the quick, approximate methods currently taught have recently been found to be inappropriate. This monograph gives an up-to-date review of recent research on the topic and presents both exact methods and helpful approximations. Detailed theory is also presented for the different distributions involved, and can be used in a classroom setting. It will be useful for those teaching statistics at university level and for those involved in statistical consulting.
Autoren-Porträt von George A. F. Seber
George Seber is an Emeritus Professor of Statistics at Auckland University, New Zealand. He is an elected Fellow of the Royal Society of New Zealand and recipient of their Hector medal in Science. He has authored or coauthored 13 books and 77 research articles on a wide variety of topics including linear and nonlinear models, multivariate analysis, adaptive sampling, genetics, epidemiology, and statistical ecology.
Bibliographische Angaben
- Autor: George A. F. Seber
- 2013, 2013, 69 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642390412
- ISBN-13: 9783642390418
- Erscheinungsdatum: 30.07.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 1.02 MB
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Sprache:
Englisch
Pressezitat
From the book reviews:“This monograph is written by George Seber, a famous author of more than a dozen books and dozens of papers in statistics and matrix analysis. … It is amazing that the author could present a huge amount of valuable information in such a relatively small volume which can serve as a handbook on proportion and probability statistics for lecturers, undergraduate and graduate students, researchers, and statistical consultants.” (Stan Lipovetsky, Technometrics, Vol. 56 (2), May, 2014)
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