01075nam0 22002891i 450 UON0043475120231205104923.332978-39-05-91005-620140109f2010 |0itac50 bagerCH|||| 1||||AusschwärmenGedichteSvenja HerrmannZürichWolfbachc201060 p.19 cm.Dono "Pro Helvetia"IT-UONSI ELVTI/027001UON004347382001 ˆDie ‰Reihe210 ZürichWolfbachNr. 2CHZürichUONL003145831.914Poesia tedesca. 1945-12HERRMANNSvenjaUONV219688712119WolfbachUONV280987650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00434751SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI ELV T I 027 SI 7721 5 027 Dono "Pro Helvetia"Ausschwärmen1327710UNIOR04044nam 22006855 450 991071741610332120251009080539.03-031-27292-710.1007/978-3-031-27292-9(CKB)5580000000533304(DE-He213)978-3-031-27292-9(MiAaPQ)EBC7240864(Au-PeEL)EBL7240864(OCoLC)1378166016(PPN)269660747(EXLCZ)99558000000053330420230424d2023 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierConstruction Analytics Forecasting and Investment Valuation /by Mohsen Shahandashti, Bahram Abediniangerabi, Ehsan Zahed, Sooin Kim1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (VIII, 186 p.) 3-031-27291-9 Includes bibliographical references and index.Chapter 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.This 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.Construction industryManagementBuildingsDesign and constructionBuilding materialsValuationCivil engineeringConstruction ManagementBuilding Construction and DesignBuilding MaterialsInvestment AppraisalCivil EngineeringConstruction industryManagement.BuildingsDesign and construction.Building materials.Valuation.Civil engineering.Construction Management.Building Construction and Design.Building Materials.Investment Appraisal.Civil Engineering.624.0681690.0285Shahandashti Mohsen1354038MiAaPQMiAaPQMiAaPQBOOK9910717416103321Construction Analytics3294442UNINA03317nam 2200625Ia 450 991096571790332120251116141103.00-309-17159-80-309-51381-2(CKB)110986584753174(SSID)ssj0000177349(PQKBManifestationID)11156202(PQKBTitleCode)TC0000177349(PQKBWorkID)10215911(PQKB)10637915(MiAaPQ)EBC3375521(Au-PeEL)EBL3375521(CaPaEBR)ebr10038802(OCoLC)923257016(BIP)53854202(BIP)6775010(EXLCZ)9911098658475317420010924d2000 uy 0engurcn|||||||||txtccrImproving access to and confidentiality of research data report of a workshop /Christopher Mackie and Norman Bradburn, editors1st ed.Washington, DC National Academy Pressc2000xii, 62 p. illCompass seriesBibliographic Level Mode of Issuance: Monograph0-309-07180-1 Includes bibliographical references (p. 51-52).Front Matter -- Acknowledgments -- Contents -- Preface -- 1 Introduction -- 2 The Data Access, Confidentiality Tradeoff -- 3 Ethical and Legal Requirements Associated with Data Dissemination -- 4 Alternative Approaches for Limiting Disclosure Risks and Facilitating Data Access -- 5 Current Agency and Organization Practices -- References and Bibliography -- APPENDIX A Workshop Participants -- APPENDIX B Workshop Agenda.Improving Access to and Confidentiality of Research Data summarizes a workshop convened by the Committee on National Statistics (CNSTAT) to promote discussion about methods for advancing the often conflicting goals of exploiting the research potential of microdata and maintaining acceptable levels of confidentiality. This report outlines essential themes of the access versus confidentiality debate that emerged during the workshop. Among these themes are the tradeoffs and tensions between the needs of researchers and other data users on the one hand and confidentiality requirements on the other; the relative advantages and costs of data perturbation techniques (applied to facilitate public release) versus restricted access as tools for improving security; and the need to quantify disclosure risks-both absolute and relative-created by researchers and research data, as well as by other data users and other types of data.Compass series.Medical recordsMedical ethicsMedical records.Medical ethics.651.5/04261Mackie Christopher D613931Bradburn Norman M119048National Research Council (U.S.).Committee on National Statistics.National Research Council (U.S.).Commission on Behavioral and Social Sciences and Education.MiAaPQMiAaPQMiAaPQBOOK9910965717903321Improving access to and confidentiality of research data4475108UNINA