| Monte-Carlo Simulation-Based Statistical Modeling 2017 Edition Contributor(s): Chen (Editor), Chen, John Dean (Editor) |
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ISBN: 9811033064 ISBN-13: 9789811033063 Publisher: Springer OUR PRICE: $132.99 Product Type: Hardcover - Other Formats Published: February 2017 |
| Additional Information |
| BISAC Categories: - Medical | Biostatistics - Science | Life Sciences - General - Mathematics | Probability & Statistics - General |
| Dewey: 519.5 |
| Series: Icsa Book Series in Statistics |
| Physical Information: 1.13" H x 6.45" W x 9.52" (2.15 lbs) 430 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |