Nonparametric Estimation under Shape Constraints - Estimators, Algorithms and Asymptotics (Hardcover, New title)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Cambridge Series in Statistical and Probabilistic Mathematics
Release date:	December 2014
Authors:	Piet Groeneboom • Geurt Jongbloed
Dimensions:	261 x 184 x 27mm (L x W x T)
Format:	Hardcover
Pages:	428
Edition:	New title
ISBN-13:	978-0-521-86401-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Econometrics > Economic statistics Books > Earth & environment > Earth sciences > Meteorology > General
LSN:	0-521-86401-1
Barcode:	9780521864015

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