Monte - carlo simulation - based statistical modeling [Documento electrónico] / edited by Ding-Geng (Din) Chen, John Dean Chen
Language: eng.Country: US - United States of America.Publication: Singapore : Springer Singapore, 2017Description: XX, 430 p. 64 il.ISBN: 978-981-10-3307-0.Series: ICSA book series in statisticsSubject - Topical Name: Estatística | Métodos estatísticos Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT | Não Ficção | QA276.SPR FCT 97926 (Browse shelf(Opens below)) | 1 | Available |
Colocação: Online
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.
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