Monte-Carlo Simulation-Based Statistical Modeling - Couverture souple

9789811098390: Monte-Carlo Simulation-Based Statistical Modeling

Couverture souple

ISBN 10 : 9811098395 ISBN 13 : 9789811098390

Editeur : Springer, 2018

Afficher les exemplaires de cette �dition comportant l?ISBN

0 D'occasion

5 Neuf

De EUR 139,09

D�tails de l'�dition

�diteurSpringer
Date d'�dition2018
ISBN 10 9811098395
ISBN 13 9789811098390
ReliureBroch�
Langueanglais
Nombre de pages452
�diteurChen Ding-Geng (Din), Chen John Dean

Acheter neuf

Afficher cet article

EUR 139,09

Autre devise

EUR 23 exp�dition depuis Allemagne vers Etats-Unis

Destinations, frais et d�lais

Ajouter au panier

Autres �ditions populaires du m�me titre

9789811033063: Monte-carlo Simulation-based Statistical Modeling

Edition pr�sent�e

ISBN 10 : 9811033064 ISBN 13 : 9789811033063
Editeur : Springer Verlag, Singapore, 2017
Couverture rigide

R�sultats de recherche pour Monte-Carlo Simulation-Based Statistical Modeling

Image fournie par le vendeur

Monte-Carlo Simulation-Based Statistical Modeling

John Dean Chen

Edit� par Springer Nature Singapore Jul 2018, 2018

ISBN 10 : 9811098395 ISBN 13 : 9789811098390

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and general statistical modeling using Monte-Carlo simulations. The data and computer programs used here will also be made publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, and to readily apply them in their own research. Featuring highly topical content, the book has the potential to impact model development and data analyses across a wide spectrum of fields, and to spark further research in this direction. 452 pp. Englisch. N� de r�f. du vendeur 9789811098390

Contacter le vendeur

Acheter neuf

EUR 139,09

Autre devise

Frais de port : EUR 23

De Allemagne vers Etats-Unis

Destinations, frais et d�lais

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Monte-Carlo Simulation-Based Statistical Modeling

Chen, Ding-Geng|Chen, John Dean

Edit� par Springer Nature Singapore, 2018

ISBN 10 : 9811098395 ISBN 13 : 9789811098390

Neuf Couverture souple

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written by experts actively engaged in Monte-Carlo simulation-based statistical modeling&nbspIncludes timely discussions and presentations on methodological developments and concrete applicationsIntr. N� de r�f. du vendeur 458822119

Contacter le vendeur

Acheter neuf

EUR 118,61

Autre devise

Frais de port : EUR 48,99

De Allemagne vers Etats-Unis

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Monte-Carlo Simulation-Based Statistical Modeling

John Dean Chen

Edit� par Springer Nature Singapore, Springer Nature Singapore, 2018

ISBN 10 : 9811098395 ISBN 13 : 9789811098390

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and general statistical modeling using Monte-Carlo simulations. The data and computer programs used here will also be made publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, and to readily apply them in their own research. Featuring highly topical content, the book has the potential to impact model development and data analyses across a wide spectrum of fields, and to spark further research in this direction. N� de r�f. du vendeur 9789811098390

Contacter le vendeur