Titre: Maximum Penalized Likelihood Estimation: Volume II: Regression (Springer Series in Statistics)
�diteur: Springer
Date de parution: 2009
Langue: anglais
ISBN � 10 chiffres: 0387402675
ISBN � 13 chiffres: 9780387402673
Reliure: Couverture rigide
�tat de l'article: New

A propos de ce titre

Synopsis

This book is intended for graduate students in statistics and industrial mathematics, as well as researchers and practitioners in the field. It covers both theory and practice of nonparametric estimation. The text is novel in its use of maximum penalized likelihood estimation, and the theory of convex minimization problems (fully developed in the text) to obtain convergence rates. A substantial effort has been made to discuss computational details, and to include simulation studies and analyses of some classical data sets using fully automatic (data driven) procedures.

Pr�sentation de l'�diteur

Ideal for researchers and practitioners in statistics and industrial mathematics, this book covers the theory and practice of nonparametric estimation. It is novel in its use of maximum penalized likelihood estimation and convex minimization problem theory.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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