LEADER 00901nam0-22002891i-450- 001 990002107520403321 005 20060620114256.0 035 $a000210752 035 $aFED01000210752 035 $a(Aleph)000210752FED01 035 $a000210752 100 $a20030910d1994----km-y0itay50------ba 101 0 $aeng 102 $aGB 200 1 $aTopics in advanced econometrics$eestimation, testing and specification of cross-section and time series models$fHerman J. Bierens 210 $aCambridge$cCambridge University Press$d1994 215 $aXII, 258 p.$d23 cm 610 0 $aStatistica - serie storiche 610 0 $aEconometria 700 1$aBierens,$bHerman$089184 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002107520403321 952 $a62 311:519:330. BIE$bDEPA 7814$fDAGEA 959 $aDAGEA 996 $aTopics in advanced econometrics$9394419 997 $aUNINA LEADER 04044nam 22006855 450 001 9910717416103321 005 20251009080539.0 010 $a3-031-27292-7 024 7 $a10.1007/978-3-031-27292-9 035 $a(CKB)5580000000533304 035 $a(DE-He213)978-3-031-27292-9 035 $a(MiAaPQ)EBC7240864 035 $a(Au-PeEL)EBL7240864 035 $a(OCoLC)1378166016 035 $a(PPN)269660747 035 $a(EXLCZ)995580000000533304 100 $a20230424d2023 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConstruction Analytics $eForecasting and Investment Valuation /$fby Mohsen Shahandashti, Bahram Abediniangerabi, Ehsan Zahed, Sooin Kim 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (VIII, 186 p.) 311 08$a3-031-27291-9 320 $aIncludes bibliographical references and index. 327 $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. 330 $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. 606 $aConstruction industry$xManagement 606 $aBuildings$xDesign and construction 606 $aBuilding materials 606 $aValuation 606 $aCivil engineering 606 $aConstruction Management 606 $aBuilding Construction and Design 606 $aBuilding Materials 606 $aInvestment Appraisal 606 $aCivil Engineering 615 0$aConstruction industry$xManagement. 615 0$aBuildings$xDesign and construction. 615 0$aBuilding materials. 615 0$aValuation. 615 0$aCivil engineering. 615 14$aConstruction Management. 615 24$aBuilding Construction and Design. 615 24$aBuilding Materials. 615 24$aInvestment Appraisal. 615 24$aCivil Engineering. 676 $a624.0681 676 $a690.0285 700 $aShahandashti$b Mohsen$01354038 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910717416103321 996 $aConstruction Analytics$93294442 997 $aUNINA