Nonparametric Estimation under Shape Constraints: Estimators, Algorithms and Asymptotics (Cambridge Series in Statistical and Probabilistic ... Probabilistic Mathematics, Series Number 38) - Image 1

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Cambridge University Press Nonparametric Estimation under Shape Constraints: Estimators, Algorithms and Asymptotics (Cambridge Series in Statistical and Probabilistic ... Probabilistic Mathematics, Series Number 38)

Name: Nonparametric Estimation under Shape Constraints: Estimators, Algorithms and Asymptotics (Cambridge Series in Statistical and Probabilistic ... Probabilistic Mathematics, Series Number 38)
Brand: Cambridge University Press
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Business, Finance & Law

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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.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 0521864011
Category: Books > Subjects > Business, Finance & Law
Domain: Amazon UK
Release Date: 11 December 2014
Listed Since: 19 October 2006

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Cambridge University Press Nonparametric Estimation under Shape Constraints: Estimators, Algorithms and Asymptotics (Cambridge Series in Statistical and Probabilistic ... Probabilistic Mathematics, Series Number 38)

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