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Early estimation of project determinants : predictions through establishing the basis of new building projects in Germany / von Onur Dursun.
- Format:
- Book
- Thesis/Dissertation
- Author/Creator:
- Dursun, Onur, author.
- Series:
- Schriftenreihe Bauökonomie
- Schriftenreihe Bauökonomie ; 1
- Language:
- English
- Subjects (All):
- Architecture and society--Germany.
- Architecture and society.
- Construction industry--Germany--Management.
- Construction industry.
- Project management--Germany.
- Project management.
- Physical Description:
- 1 online resource (156 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Munich, Germany : Oldenbourg Verlag, 2014.
- Language Note:
- English
- 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.
- Contents:
- Front matter
- 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
- Notes:
- Description based upon print version of record.
- Dissertation Univ. Stuttgart 2013.
- Includes bibliographical references.
- Description based on online resource; title from PDF title page (ebrary, viewed February 9, 2015).
- ISBN:
- 9783110347876
- 3110347873
- OCLC:
- 979969549
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