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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Nonparametric Estimation under Shape Constraints

Nonparametric Estimation under Shape Constraints

Groeneboom, Piet
Jongbloed, Geurt

Hardcover

Series: Cambridge Statistical and Probabilistic Mathematics, Book 38

Probability & Statistics

ISBN10: 0521864011
ISBN13: 9780521864015
Publisher: Cambridge University Press
Published: Dec 11 2014
Pages: 428
Weight: 2.05
Height: 1.20 Width: 7.20 Depth: 10.00
Language: English
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.

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