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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: | LaRiccia, Vincent N, Eggermont, Paul P |
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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 |
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