Models for predicting quality of building projects

10.1108/09699980510576862

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Bibliographic Details
Main Author:	Ling, F.Y.Y.
Other Authors:	BUILDING
Format:	Article
Published:	2013
Subjects:	Building services Buildings Design Quality management Singapore
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/45779
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-45779
record_format	dspace
spelling	sg-nus-scholar.10635-457792023-09-22T07:46:05Z Models for predicting quality of building projects Ling, F.Y.Y. BUILDING Building services Buildings Design Quality management Singapore 10.1108/09699980510576862 Engineering, Construction and Architectural Management 12 1 6-20 2013-10-14T04:40:09Z 2013-10-14T04:40:09Z 2005 Article Ling, F.Y.Y. (2005). Models for predicting quality of building projects. Engineering, Construction and Architectural Management 12 (1) : 6-20. ScholarBank@NUS Repository. https://doi.org/10.1108/09699980510576862 09699988 http://scholarbank.nus.edu.sg/handle/10635/45779 000211599300002 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Building services Buildings Design Quality management Singapore
spellingShingle	Building services Buildings Design Quality management Singapore Ling, F.Y.Y. Models for predicting quality of building projects
description	10.1108/09699980510576862
author2	BUILDING
author_facet	BUILDING Ling, F.Y.Y.
format	Article
author	Ling, F.Y.Y.
author_sort	Ling, F.Y.Y.
title	Models for predicting quality of building projects
title_short	Models for predicting quality of building projects
title_full	Models for predicting quality of building projects
title_fullStr	Models for predicting quality of building projects
title_full_unstemmed	Models for predicting quality of building projects
title_sort	models for predicting quality of building projects
publishDate	2013
url	http://scholarbank.nus.edu.sg/handle/10635/45779
_version_	1781411393478590464

Models for predicting quality of building projects

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