Ding-Geng (Hrsg.) Chen

Monte-Carlo Simulation-Based Statistical Modeling

Buch

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 ea… Mehr

CHF 158.00

Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)

Versandfertig innerhalb 1-3 Werktagen

V105: Folgt in ca. 15 Arbeitstagen

Produktdetails

Weitere Autoren: Chen, John Dean (Hrsg.)

ISBN: 978-981-10-3306-3
EAN: 9789811033063
Produktnummer: 21727074
Verlag: Springer Nature
Sprache: Englisch
Erscheinungsjahr: 2017
Seitenangabe: 430 S.
Masse: H24.1 cm x B15.9 cm x D2.7 cm 863 g
Auflage: 2017
Gewicht: 863

Über den Autor

Professor Ding-Geng Chen is a fellow of the American Statistical Association and currently the Wallace Kuralt distinguished professor at the University of North Carolina at Chapel Hill. He was a professor at the University of Rochester and the Karl E. Peace endowed eminent scholar chair in biostatistics at Georgia Southern University. He is also a senior statistics consultant for biopharmaceuticals and government agencies with extensive expertise in clinical trial biostatistics and public health statistics. Professor Chen has written more than 150 referred professional publications and co-authored and co-edited eight books on clinical trial methodology, meta-analysis, causal-inference and public health statistics.