Gibbs sampler approval to biomedical data problem analysis

The modelling and analysis of missing medical data are done using the Bayesian Markov Chain Monte Carlo (MCMC) methods. WinBUGS, an interactive windows program for Bayesian analysis of complex statistical models using Markov Chain Monte Carlo (MCMC) techniques are applied to aid our understanding of...

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Bibliographic Details
Main Author:	Chin, Siew Hoo.
Other Authors:	Chin, Teck Chai
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Bioengineering
Online Access:	http://hdl.handle.net/10356/5617
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-5617
record_format	dspace
spelling	sg-ntu-dr.10356-56172023-03-11T17:06:18Z Gibbs sampler approval to biomedical data problem analysis Chin, Siew Hoo. Chin, Teck Chai School of Mechanical and Production Engineering DRNTU::Engineering::Bioengineering The modelling and analysis of missing medical data are done using the Bayesian Markov Chain Monte Carlo (MCMC) methods. WinBUGS, an interactive windows program for Bayesian analysis of complex statistical models using Markov Chain Monte Carlo (MCMC) techniques are applied to aid our understanding of applying Bayesian theory to evaluate missing medical data. Master of Science (Biomedical Engineering) 2008-09-17T10:55:05Z 2008-09-17T10:55:05Z 2004 2004 Thesis http://hdl.handle.net/10356/5617 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Bioengineering
spellingShingle	DRNTU::Engineering::Bioengineering Chin, Siew Hoo. Gibbs sampler approval to biomedical data problem analysis
description	The modelling and analysis of missing medical data are done using the Bayesian Markov Chain Monte Carlo (MCMC) methods. WinBUGS, an interactive windows program for Bayesian analysis of complex statistical models using Markov Chain Monte Carlo (MCMC) techniques are applied to aid our understanding of applying Bayesian theory to evaluate missing medical data.
author2	Chin, Teck Chai
author_facet	Chin, Teck Chai Chin, Siew Hoo.
format	Theses and Dissertations
author	Chin, Siew Hoo.
author_sort	Chin, Siew Hoo.
title	Gibbs sampler approval to biomedical data problem analysis
title_short	Gibbs sampler approval to biomedical data problem analysis
title_full	Gibbs sampler approval to biomedical data problem analysis
title_fullStr	Gibbs sampler approval to biomedical data problem analysis
title_full_unstemmed	Gibbs sampler approval to biomedical data problem analysis
title_sort	gibbs sampler approval to biomedical data problem analysis
publishDate	2008
url	http://hdl.handle.net/10356/5617
_version_	1761781383727939584

Gibbs sampler approval to biomedical data problem analysis

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