Estimation of the demand for construction aggregate

Author:

Smith Gary1ORCID

Affiliation:

1. Fletcher Jones Professor, Department of Economics; Pomona College; Claremont CA USA

Publisher

Wiley

Subject

Environmental Science (miscellaneous),Modelling and Simulation

Reference34 articles.

1. Mineral land Classification of the Greater Los Angeles Area, Part II, Classification of Sand and Gravel Resource Areas, San Fernando Valley Production-Consumption Region;Anderson;California Department of Conservation, Division of Mines and Geology Special Report,1979

2. An evaluation of the accuracy of the multiple regression approach in forecasting sectoral construction demand in Singapore;Bee-Hua;Construction Management and Economics,1999

3. Evaluating the performance of combining neural networks and genetic algorithms to forecast construction demand: The case of the Singapore residential sector;Bee-Hua;Construction Management and Economics,2000

4. Benchmark Resources. 2016 Austin Quarry Project: Final Environmental Impact Report, Volume II: Responses to Comments Sections 9.0 - 10.3 , 9.0-71

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