Regression - Fahrmeir, Ludwig
- Format: Broché Voir le descriptif
Vous en avez un à vendre ?
Vendez-le-vôtreSoyez informé(e) par e-mail dès l'arrivée de cet article
Créer une alerte prix
- Payez directement sur Rakuten (CB, PayPal, 4xCB...)
- Récupérez le produit directement chez le vendeur
- Rakuten vous rembourse en cas de problème
Gratuit et sans engagement
Félicitations !
Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !
TROUVER UN MAGASIN
Retour
Avis sur Regression Format Broché - Livre Technologie
0 avis sur Regression Format Broché - Livre Technologie
Donnez votre avis et cumulez 5
Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.
Présentation Regression Format Broché
- Livre Technologie
Biographie: Ludwig Fahrmeir is Professor Emeritus at the Institute of Statistics at LMU Munich, Germany. From 1995 to 2006 he was the speaker of the Collaborative Research Center 'Statistical Analysis of Discrete Structures', supported financially by the German National Science Foundation. His main research interests include semiparametric regression, longitudinal data analysis and spatial statistics, with applications ranging from social science and risk management to public health and neuroscience. Thomas Kneib is a Professor of Statistics at the University of G?ttingen, Germany, where he is the Speaker of the interdisciplinary Centre for Statistics and Vice-Speaker of the Campus Institute Data Science. He received his PhD in Statistics at LMU Munich and, during his PostDoc phase, was Visiting Professor of Applied Statistics at the University of Ulm and Substitute Professor of Statistics at the University of G?ttingen. From 2009 until 2011 he was Professor of Applied Statistics at Carl von Ossietzky University Oldenburg. His main research interests include semiparametric regression, spatial statistics and distributional regression. Stefan Lang is a Professor of Applied Statistics at the University of Innsbruck, Austria. He received his PhD at LMU Munich. From 2005 to 2006 he was Professor of Statistics at the University of Leipzig. He is currently Associate Editor of the journal Statistical Modelling. His main research interests include semiparametric and spatial regression, multilevel modelling and complex Bayesian models, with applications, among others, in development economics, environmetrics, marketing science, real estate and actuarial science. Brian D. Marx was Professor at the Department of Experimental Statistics at Louisiana State University, LA, USA. He passed away shortly after the authors finished the work on this 2nd edition. His main research interests included P-spline smoothing, ill-conditioned regression problems, and high-dimensional chemometric applications. He was serving as Coordinating Editor for the journal Statistical Modelling for many years, was Chair of the Statistical Modelling Society, and a Fellow of the American Statistical Association.
Sommaire:
Ludwig Fahrmeir is Professor Emeritus at the Institute of Statistics at LMU Munich, Germany. From 1995 to 2006 he was the speaker of the Collaborative Research Center 'Statistical Analysis of Discrete Structures', supported financially by the German National Science Foundation. His main research interests include semiparametric regression, longitudinal data analysis and spatial statistics, with applications ranging from social science and risk management to public health and neuroscience. Thomas Kneib is a Professor of Statistics at the University of G?ttingen, Germany, where he is the Speaker of the interdisciplinary Centre for Statistics and Vice-Speaker of the Campus Institute Data Science. He received his PhD in Statistics at LMU Munich and, during his PostDoc phase, was Visiting Professor of Applied Statistics at the University of Ulm and Substitute Professor of Statistics at the University of G?ttingen. From 2009 until 2011 he was Professor of Applied Statistics at Carl von Ossietzky University Oldenburg. His main research interests include semiparametric regression, spatial statistics and distributional regression. Stefan Lang is a Professor of Applied Statistics at the University of Innsbruck, Austria. He received his PhD at LMU Munich. From 2005 to 2006 he was Professor of Statistics at the University of Leipzig. He is currently Associate Editor of the journal Statistical Modelling. His main research interests include semiparametric and spatial regression, multilevel modelling and complex Bayesian models, with applications, among others, in development economics, environmetrics, marketing science, real estate and actuarial science. Brian D. Marx was Professor at the Department of Experimental Statistics at Louisiana State University, LA, USA. He passed away shortly after the authors finished the work on this 2nd edition. His main research interests included P-spline smoothing, ill-conditioned regression problems, and high-dimensional chemometric applications. He was serving as Coordinating Editor for the journal Statistical Modelling for many years, was Chair of the Statistical Modelling Society, and a Fellow of the American Statistical Association....