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Constrained Statistical Inference – Inequality, Order and Shape Restrictions: Wiley Series in Probability and Statistics

Autor MJ Silvapulle
en Limba Engleză Hardback – 18 noi 2004
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.
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Specificații

ISBN-13: 9780471208273
ISBN-10: 0471208272
Pagini: 532
Dimensiuni: 159 x 245 x 36 mm
Greutate: 0.9 kg
Ediția:New.
Editura: Wiley
Seria Wiley Series in Probability and Statistics

Locul publicării:Hoboken, United States

Public țintă

Ideal for graduate courses in order statistics, it also serves as a reference for applied statisticians in econometrics, biostatistics, medical statistics and operations research.

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Descriere

An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics.