Library Catalog
Amazon cover image
Image from Amazon.com

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

By: Material type: TextTextSeries: Schriftenreihe Bauökonomie ; 1Publisher: München ; Wien : De Gruyter Oldenbourg, [2013]Copyright date: ©2014Description: 1 online resource (136 p.)Content type:
Media type:
Carrier type:
ISBN:
  • 9783110346381
  • 9783110347876
Subject(s): DDC classification:
  • 692.50943 23
LOC classification:
  • NA2542.4 .D877 2014eb
Other classification:
  • online - DeGruyter
Online resources:
Contents:
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
Dissertation note: Dissertation Univ. Stuttgart 2013. Summary: 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.Summary: 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.
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9783110347876

Dissertation Univ. Stuttgart 2013.

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

restricted access online access with authorization star

http://purl.org/coar/access_right/c_16ec

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.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Nov 2021)