000 04298nam a22006375i 4500
001 978-3-031-27292-9
003 DE-He213
005 20240207153434.0
007 cr nn 008mamaa
008 230424s2023 sz | s |||| 0|eng d
020 _a9783031272929
_9978-3-031-27292-9
050 4 _aTH438-438.4
072 7 _aTN
_2bicssc
072 7 _aKJM
_2bicssc
072 7 _aTEC005000
_2bisacsh
072 7 _aTNT
_2thema
082 0 4 _a690.06
_223
100 1 _aShahandashti, Mohsen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aConstruction Analytics
_h[electronic resource] :
_bForecasting and Investment Valuation /
_cby Mohsen Shahandashti, Bahram Abediniangerabi, Ehsan Zahed, Sooin Kim.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aVIII, 186 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aAcceso multiusuario
505 0 _aChapter 1. Introduction to Construction Analytics -- Chapter 2. Construction Forecasting using Univariate Time Series Models -- Chapter 3. Construction Forecasting Using Time-series Volatility Models -- Chapter 4. Construction Forecasting using Multivariate Time Series Models -- Chapter 5. Construction Forecasting Using Recurrent Neural Networks -- Chapter 6. Investment Valuation of Construction Projects Under Uncertainty -- Appendices: Construction time series datasets, including National Highway Construction Cost Index (NHCCI), Federal Highway Construction Spending, Iowa Highway Construction.
520 _aThis text covers R program coding for the implementation of two essential data analytics for practical construction problems. The first part of this book explains time series basics, models, and forecasting approaches in the context of the construction industry, accompanied by practical examples in construction. The second part describes the concept of investment valuation for construction projects and provides both deterministic and probabilistic techniques to conduct investment valuation on construction projects. R code scripts are provided in this book for solving practical problems in the construction industry. This book is also equipped with an R Package entitled "cdar" to provide the necessary functions for performing investment valuation. The book maximizes students' understanding of the necessary theoretical background of data analytics, and explains the implementation of data analytics techniques to solve the actual problems in the construction industry. Illustrates theoretical explanations of construction analytics, hands-on practices, and R codes for analytics techniques; Enables readers to investigate the problems in the construction industry such as cost overruns and investment timing; Reinforces concepts presented with problems and solutions, datasets, and programming codes.
541 _fUABC ;
_cPerpetuidad
650 0 _aConstruction industry
_xManagement.
650 0 _aBuildings
_xDesign and construction.
650 0 _aBuilding materials.
650 0 _aValuation.
650 0 _aCivil engineering.
650 1 4 _aConstruction Management.
650 2 4 _aBuilding Construction and Design.
650 2 4 _aBuilding Materials.
650 2 4 _aInvestment Appraisal.
650 2 4 _aCivil Engineering.
700 1 _aAbediniangerabi, Bahram.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aZahed, Ehsan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aKim, Sooin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031272912
776 0 8 _iPrinted edition:
_z9783031272936
776 0 8 _iPrinted edition:
_z9783031272943
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-27292-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c260217
_d260216