Abstracts – Browse Results
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Abdollahipour, S (2013) Multi-parameter bidding in highway construction and rehabilitation projects, Unpublished PhD Thesis, , Oklahoma State University.
Alroomi, A S (2013) Integrative framework for sustainable development of the cost estimating profession, Unpublished PhD Thesis, , Oklahoma State University.
Brown, B H J (1974) An econometric forecasting model for a segment of the construction market, Unpublished PhD Thesis, , Oklahoma State University.
Duffy, G A (2009) Linear scheduling of pipeline construction projects with varying production rates, Unpublished PhD Thesis, , Oklahoma State University.
Eldin, N N (1987) Methodology for project management control in the construction industry, Unpublished PhD Thesis, , Oklahoma State University.
Ghulman, B A (2000) Predicting construction cost growth in ODOT's paving projects using information available at the bidding time, Unpublished PhD Thesis, , Oklahoma State University.
Hajji, A M (2013) Development of a productivity-based economic, energy, environmental model for heavy duty diesel construction equipment, Unpublished PhD Thesis, , Oklahoma State University.
Johnson, L R (1969) A competitive strategy model for highway construction proposals, Unpublished PhD Thesis, , Oklahoma State University.
Karimi, B (2018) Evaluation of emissions reduction strategies for heavy duty diesel construction equipment, Unpublished PhD Thesis, , Oklahoma State University.
Kim, J (2022) A multimodal approach to improve fire safety on construction sites, Unpublished PhD Thesis, , Oklahoma State University.
King-Lewis, A (2020) Diversity and inclusion of women in the construction industry, Unpublished PhD Thesis, , Oklahoma State University.
Lee, B-H (2011) Forecasting wheat yield and quality conditional on weather information and estimating construction costs of agricultural facilities, Unpublished PhD Thesis, , Oklahoma State University.
- Type: Thesis
- Keywords: estimating; forecasting; marketing; precipitation; purchasing; variations; weather; construction cost; regression model
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/889255531
- Abstract:
Two studies were conducted. First study is pre-harvest forecasting of county wheat yield and wheat quality conditional on weather information and second study is improved methods of estimating construction costs of agricultural facilities. The first study estimated wheat regression models to account for the effect of weather on wheat yield, protein, and test weight and to forecast wheat yield and the two wheat quality measures. The explanatory variables included precipitation and temperature for growing periods that correspond to biological wheat development stages. The models included county fixed effects, crop year random effects, and a spatial lag effect. The second study developed and evaluated 'Economic Engineering Construction cost templates model' for estimating construction costs of storage facilities. To verify model performance, the regression statistical inferences were used and the predicted costs of the developed cost templates model were benchmarked against previous two projects for grain bin and one example of RSMeans estimating costs for warehouse building. The results of first study indicated that wheat yield, protein, and test weight level are strongly influenced by weather variables. Study also found that the forecasting power of the yield and protein models was enhanced by adding the spatial lag effect. Out of sample forecasting tests confirm the models' usefulness in accounting for the variations in average wheat yield and qualities. The first study results or prediction information could be widely used and could be particularly important to producers optimizing late season agronomic and marketing decisions and to grain elevators and agribusiness for contracts or purchasing decisions. The results of second study represented the fitting ability of the model is very well and provide information which help to illustrate and quantify the project to project variation in construction costs. It allows producers and agribusiness managers to examine a wide variety of configurations and options and to update their estimates as current RSMeans data becomes available. So, a major contribution of the study is that it develops a method of estimation that can be continuously updated as new RSMeans data is published.
Lusby, A K (2003) The effect of increased public investment in transportation infrastructure on oklahoma's economic development, Unpublished PhD Thesis, , Oklahoma State University.
Miller, R H (1973) Life cycle system model for estimating construction equipment ownership costs, Unpublished PhD Thesis, , Oklahoma State University.
Rainer, R K (1968) Predicting productivity of one or two elevators for construction of high-rise buildings, Unpublished PhD Thesis, , Oklahoma State University.
Shararah, H H (1981) Evaluation of wall construction techniques based upon economical factors influencing labor and materials, Unpublished PhD Thesis, , Oklahoma State University.
Spencer, G R (1987) Integration of cost estimating with critical path scheduling, Unpublished PhD Thesis, , Oklahoma State University.
Syachrani, S (2010) Advanced sewer asset management using dynamic deterioration models, Unpublished PhD Thesis, , Oklahoma State University.
Tamimi, M F (2022) Reliability and sensitivity analysis of civil and marine structures using machine-learning-assisted simulation, Unpublished PhD Thesis, , Oklahoma State University.
Trost, S M (1998) A quantitative model for predicting the accuracy of early cost estimates for construction projects in the process industry, Unpublished PhD Thesis, , Oklahoma State University.
Zeitoun, A A (1992) Evaluation of cost and schedule growth trends during construction, Unpublished PhD Thesis, , Oklahoma State University.