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Monte-Carlo Simulation-Based Statistical Modeling (ICSA Book Series in Statistics) - Softcover

 
9789811098390: Monte-Carlo Simulation-Based Statistical Modeling (ICSA Book Series in Statistics)

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9789811033063: Monte-Carlo Simulation-Based Statistical Modeling (ICSA Book Series in Statistics)

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ISBN 10:  9811033064 ISBN 13:  9789811033063
Publisher: Springer, 2017
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Chen, Ding-Geng|Chen, John Dean
Published by Springer Nature Singapore, 2018
ISBN 10: 9811098395 ISBN 13: 9789811098390
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Condition: 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. Seller Inventory # 458822119

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John Dean Chen
ISBN 10: 9811098395 ISBN 13: 9789811098390
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Taschenbuch. Condition: 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. Seller Inventory # 9789811098390

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John Dean Chen
ISBN 10: 9811098395 ISBN 13: 9789811098390
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Taschenbuch. Condition: 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. Seller Inventory # 9789811098390

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Published by Springer, 2018
ISBN 10: 9811098395 ISBN 13: 9789811098390
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Paperback. Condition: New. New. book. Seller Inventory # ERICA80098110983956

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Published by Springer, 2018
ISBN 10: 9811098395 ISBN 13: 9789811098390
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Paperback. Condition: Brand New. reprint edition. 430 pages. 9.25x6.10x0.91 inches. In Stock. Seller Inventory # zk9811098395

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