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Nonparametric Estimation Under Shape Constraints

Nonparametric Estimation Under Shape Constraints Estimators, Algorithms, and Asymptotics - Cambridge Series in Statistical and Probabilistic Mathematics

Hardback (11 Dec 2014)

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Publisher's Synopsis

This book treats the latest developments in the theory of order-restricted inference, with special attention to nonparametric methods and algorithmic aspects. Among the topics treated are current status and interval censoring models, competing risk models, and deconvolution. Methods of order restricted inference are used in computing maximum likelihood estimators and developing distribution theory for inverse problems of this type. The authors have been active in developing these tools and present the state of the art and the open problems in the field. The earlier chapters provide an introduction to the subject, while the later chapters are written with graduate students and researchers in mathematical statistics in mind. Each chapter ends with a set of exercises of varying difficulty. The theory is illustrated with the analysis of real-life data, which are mostly medical in nature.

About the Publisher

Cambridge University Press

Cambridge University Press dates from 1534 and is part of the University of Cambridge. We further the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.

Book information

ISBN: 9780521864015
Publisher: Cambridge University Press
Imprint: Cambridge University Press
Pub date:
DEWEY: 519.54
DEWEY edition: 23
Language: English
Number of pages: 428
Weight: 942g
Height: 261mm
Width: 177mm
Spine width: 25mm