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Constrained Statistical Inference

Order, Inequality, and Shape Constraints

Wiley, J,
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This volumes focuses on the theory of statistical inference under inequality constraints, providing a unified and up-to-date treatment of the methodology. The scope of applications of the presented methodology and theory in different fields is clearly illustrated by using examples from several areas, especially sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality constrained inference problems, which do not fit well in the contemplated unified framework, providing meaningful access to comprehend methodological resolutions.


Titel: Constrained Statistical Inference
Autoren/Herausgeber: Mervyn J. Silvapulle, Pranab Kumar Sen
Aus der Reihe: Wiley Series in Probability and Statistics
Ausgabe: 1. Auflage

ISBN/EAN: 9780471208273

Seitenzahl: 532
Format: 24,2 x 16,1 cm
Produktform: Hardcover/Gebunden
Gewicht: 879 g
Sprache: Englisch

MERVYN J. SILVAPULLE, PhD, is an Associate Professor in the Department of Statistical Science at La Trobe University in Bundoora, Australia. He received his PhD in statistics from the Australian National University in 1981.
PRANAB K. SEN, PhD, is a Professor in the Departments of Biostatistics and Statistics and Operations Research at the University of North Carolina at Chapel Hill. He received his PhD in 1962 from Calcutta University, India. - Newsletter
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