Statistical Models for Proportions and Probabilities

Buch | Softcover
VIII, 69 Seiten
2013 | 2013
Springer Berlin (Verlag)
978-3-642-39040-1 (ISBN)
42,79 inkl. MwSt
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.

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.

1.Single Proportion.- 2.Single Probability.- 3.Several Proportions or Probabilities.- 4.Multivariate Hypothesis Tests.- 5.Logarithmic Models.

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)

Erscheint lt. Verlag 15.8.2013
Reihe/Serie SpringerBriefs in Statistics
Zusatzinfo VIII, 69 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 148 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Logistic models • Log Linear Models • Multinominal Distributions • Probability • Proportions • Textbook
ISBN-10 3-642-39040-4 / 3642390404
ISBN-13 978-3-642-39040-1 / 9783642390401
Zustand Neuware
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