Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD courier 1 190 Ft Post 1 795 Ft Post 1 690 Ft Post 1 690 Ft GLS point 1 390 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft DPD point 990 Ft GLS courier 1 790 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Monte-Carlo Simulation-Based Statistical Modeling

Name: Monte-Carlo Simulation-Based Statistical Modeling
Brand: Springer Verlag, Singapore
SKU: 20095227
Price: 51561 HUF
Availability: InStock
Author: Ding-Geng (Din) Chen
ISBN: 9789811098390

Ding-Geng (Din) Chen

John Dean Chen

Language

English

Book Paperback

Libristo code: 20095227

Publishers Springer Verlag, Singapore, July 2018

This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical mod... Full description

Libristo code: 20095227

352 b

51 561 Ft

In stock at our supplier Shipping in 8-11 days

30-day return policy

Customers also purchased

Astrologia wspolczesna Tom 3 Elena Suszczynska

Paperback

3 929 Ft

Tout ce dont reve une petite fille: Livre de coloriage Cristie Will

Paperback

3 282 Ft

La sorcière aux champignons - Tome 05 Tachibana Higuchi

Book

3 882 Ft

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.