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Maximum Penalized Likelihood Estimation
Suitable for graduate students in statistics and industrial mathematics, and researchers and practitioners in the field, this book covers both theory and practice of nonparametric estimation. It discusses computational details, includes simulation studies and analyses of classical data sets using au...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2009
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/b12285 http://cds.cern.ch/record/1413613 |
_version_ | 1780923967265046528 |
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author | LaRiccia, Vincent N Eggermont, Paul P |
author_facet | LaRiccia, Vincent N Eggermont, Paul P |
author_sort | LaRiccia, Vincent N |
collection | CERN |
description | Suitable for graduate students in statistics and industrial mathematics, and researchers and practitioners in the field, this book covers both theory and practice of nonparametric estimation. It discusses computational details, includes simulation studies and analyses of classical data sets using automatic (data driven) procedures. |
id | cern-1413613 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2009 |
publisher | Springer |
record_format | invenio |
spelling | cern-14136132021-04-22T00:41:54Zdoi:10.1007/b12285http://cds.cern.ch/record/1413613engLaRiccia, Vincent NEggermont, Paul PMaximum Penalized Likelihood EstimationMathematical Physics and MathematicsSuitable for graduate students in statistics and industrial mathematics, and researchers and practitioners in the field, this book covers both theory and practice of nonparametric estimation. It discusses computational details, includes simulation studies and analyses of classical data sets using automatic (data driven) procedures.Springeroai:cds.cern.ch:14136132009 |
spellingShingle | Mathematical Physics and Mathematics LaRiccia, Vincent N Eggermont, Paul P Maximum Penalized Likelihood Estimation |
title | Maximum Penalized Likelihood Estimation |
title_full | Maximum Penalized Likelihood Estimation |
title_fullStr | Maximum Penalized Likelihood Estimation |
title_full_unstemmed | Maximum Penalized Likelihood Estimation |
title_short | Maximum Penalized Likelihood Estimation |
title_sort | maximum penalized likelihood estimation |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/b12285 http://cds.cern.ch/record/1413613 |
work_keys_str_mv | AT laricciavincentn maximumpenalizedlikelihoodestimation AT eggermontpaulp maximumpenalizedlikelihoodestimation |