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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...

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Detalles Bibliográficos
Autores principales: LaRiccia, Vincent N, Eggermont, Paul P
Lenguaje:eng
Publicado: Springer 2009
Materias:
Acceso en línea:https://dx.doi.org/10.1007/b12285
http://cds.cern.ch/record/1413613