Pipeline Construction Cost Forecasting Using Multivariate Time Series Methods-Reference-Cited by-同舟云学术

Pipeline Construction Cost Forecasting Using Multivariate Time Series Methods

Published:2021-08 Issue:3 Volume:12 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Kim Sooin¹^ORCID,Abediniangerabi Bahram²^ORCID,Shahandashti Mohsen³

Affiliation:

1. Graduate Student, Dept. of Civil Engineering, Univ. of Texas at Arlington, 416 S. Yates St., Arlington, TX 76010 (corresponding author). ORCID: .

2. Postdoctoral Research Fellow, Dept. of Civil Engineering, Univ. of Texas at Arlington, 416 S. Yates St., Arlington, TX 76010. ORCID: .

3. Assistant Professor, Dept. of Civil Engineering, Univ. of Texas at Arlington, 416 S. Yates St., Arlington, TX 76010.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000553

Reference34 articles.

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2. A new look at the statistical model identification

3. Anaman, K. A. 2003. “Can the construction industry pull the rest of the economy out of a recession? Evaluation of the causality links between the construction industry and the macro-economy in Brunei Darussalam.” In Applied economic analysis in Brunei Darussalam: Evaluation of economic growth and trade, microeconomic efficiency and analysis of socio-economic problems, 16–23. Bandar Seri Begawan, Brunei: Universiti Brunei Darussalam.

4. Time Series Analysis of ENR Construction Cost Index

5. Ashuri B. and S. M. Shahandashti. 2012. “Quantifying the relationship between construction cost index (CCI) and macroeconomic factors in the United States.” In Vol. 14 of Proc. 48th ASC Annual Int. Conf. Birmingham UK: Birmingham City Univ.

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