Early Estimation of Project Determinants : : Predictions through Establishing the Basis of New Building Projects in Germany.

• Superior document: Title is part of eBook package: De Gruyter DGBA Backlist Business and Economics 2000-2014 (EN)
• VerfasserIn: Dursun, Onur,
• Place / Publishing House: München ;, Wien : : De Gruyter Oldenbourg, , [2013]; ©2014
• Year of Publication: 2013
• Language: English
• Series: Schriftenreihe Bauökonomie ; 1
• Physical Description: 1 online resource (136 p.)
• Other title: Frontmatter --; Contents --; List of Abbreviations --; List of Figures --; List of Tables --; Abstract --; Zusammenfassung --; 1 Introduction --; 2 Literature Review --; 3 Methodology --; 4 Sample --; 5 Results of Analysis --; 6 Comparison of the Frameworks --; 7 Implementation --; 8 Conclusions --; References
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110347876; 9783110621143; 9783110238570; 9783110635737; 9783110342659
• DOI: 10.1524/9783110347876
• Access: restricted access
• Hierarchical level: Monograph

The study initiated with underlying principles of construction production which is an impetus to ill-conditioned prediction of project determinants at the early phases of building projects. To enhance the precision of these estimations, unique solutions relying on the statistical evidences were offered. The study initiated with underlying principles of construction production which is an impetus to ill-conditioned prediction of project determinants at the early phases of building projects. To enhance the precision of these estimations, unique solutions relying on the statistical evidences were offered. Two alternative methods of analysis, namely linear regression and artificial neural networks, were employed to recognize the patterns in the sampled projects. Comparison was conducted on the basis of prediction measurements that were computed with the help of unseen test sample. The evidences of the empirical investigation suggest offered solutions provide superior prediction accuracy when compared to current practices. Last but not least, implementation of the solutions was illustrated on a random office development.