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Maximum Penalized Likelihood Estimation eBook

Volume I: Density Estimation

by Vincent N. Lariccia e P.P.B. Eggermont
language: english
Publisher: SPRINGER NEW YORK, December of 2020 ‧
238,49€
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Deals with parametric and nonparametric density estimation from the maximum (penalized) likelihood point of view, including estimation under constraints such as unimodality and log-concavity. This book focuses on convexity and convex optimization, as applied to maximum penalized likelihood estimation.

Maximum Penalized Likelihood Estimation

Volume I: Density Estimation

by Vincent N. Lariccia e P.P.B. Eggermont

Property Description
ISBN: 9781071612446
Publisher: SPRINGER NEW YORK
Release Date: December of 2020
Language: English
Format: eBook
File Format and Compatibility: PDF para ADE
Collection: Springer Series In Statistics
Categories: eBooks in English > Science > Mathematics
eBooks in English > Management > Management and Organization
EAN: 9781071612446

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