Monte-Carlo Simulation-Based Statistical Modeling

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics, Science, Biological Sciences
Cover of the book Monte-Carlo Simulation-Based Statistical Modeling by , Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789811033070
Publisher: Springer Singapore Publication: February 1, 2017
Imprint: Springer Language: English
Author:
ISBN: 9789811033070
Publisher: Springer Singapore
Publication: February 1, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book Pathology of the Bile Duct by
Cover of the book Piracy and surreptitious activities in the Malay Archipelago and adjacent seas, 1600-1840 by
Cover of the book Introduction to Computational Mass Transfer by
Cover of the book Biomaterials for Musculoskeletal Regeneration by
Cover of the book Transnational Commercial and Consumer Law by
Cover of the book Social Commentary on State and Society in Modern Japan by
Cover of the book High-Temperature H2S Removal from IGCC Coarse Gas by
Cover of the book Location Privacy in Mobile Applications by
Cover of the book Anatomy for the Generic Surgical Sciences Examination (GSSE) by
Cover of the book Advances in Distillation Retrofit by
Cover of the book Musicality of Human Brain through Fractal Analytics by
Cover of the book Microwave Chemical and Materials Processing by
Cover of the book Regional Performance Measurement and Improvement by
Cover of the book Information and Communication Technology by
Cover of the book Flotation Reagents: Applied Surface Chemistry on Minerals Flotation and Energy Resources Beneficiation by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy