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Maximum Penalized Likelihood Estimation eBook
Volume I: Density Estimation
language: english
Publisher:
SPRINGER NEW YORK, December of 2020 ‧
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238,49€
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Ebook for ADE
SYNOPSIS
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.
DETAILS
| 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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