Monte Carlo Simulation Based Statistical Modeling is popular PDF and ePub book, written by Ding-Geng (Din) Chen in 2017-02-01, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Monte Carlo Simulation Based Statistical Modeling can be Read Online from any device for your convenience.
Monte Carlo Simulation Based Statistical Modeling Book PDF Summary
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.
Detail Book of Monte Carlo Simulation Based Statistical Modeling PDF
- Author : Ding-Geng (Din) Chen
- Release : 01 February 2017
- Publisher : Springer
- ISBN : 9789811033070
- Genre : Medical
- Total Page : 430 pages
- Language : English
- PDF File Size : 9,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Monte Carlo Simulation Based Statistical Modeling by Ding-Geng (Din) Chen, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.