Téléchargez le livre : Monte-Carlo Simulation-Based Statistical Modeling

Monte-Carlo Simulation-Based Statistical Modeling

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Éditeur :

Springer


Collection :

ICSA Book Series in Statistics

Paru le : 2017-02-01

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Description
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.
Pages
430 pages
Collection
ICSA Book Series in Statistics
Parution
2017-02-01
Marque
Springer
EAN papier
9789811033063
EAN PDF
9789811033070
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
10383 Ko
Prix
126,59 €
EAN EPUB
9789811033070
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
6390 Ko
Prix
126,59 €

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