| 书目名称 | Monte-Carlo Simulation-Based Statistical Modeling |
| 编辑 | Ding-Geng‘(Din) Chen,John Dean Chen |
| 视频video | |
| 概述 | Written by experts actively engaged in Monte-Carlo simulation-based statistical modeling.Includes timely discussions and presentations on methodological developments and concrete applications.Introduc |
| 丛书名称 | ICSA Book Series in Statistics |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2017 |
| 关键词 | Monte-Carlo Techniques; Statistical Modelling; Importance Sampling; Multiple Integration; Simulation; Eff |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-3307-0 |
| isbn_softcover | 978-981-10-9839-0 |
| isbn_ebook | 978-981-10-3307-0Series ISSN 2199-0980 Series E-ISSN 2199-0999 |
| issn_series | 2199-0980 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
发表于 2025-3-21 17:06:44
