Spatial Statistical and Multivariate Regression Approach to Earthwork Shrinkage-Factor Calculation

In this research, a linear shrinkage factor model, which is the result of spatial and statistical modeling, was developed for the state of North Dakota. The input variables for the developed shrinkage factor models were derived from spatially modeled soil data which makes the function responsive to...

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Main Author: Shamo, Benedict
Format: Others
Published: North Dakota State University 2017
Online Access:https://hdl.handle.net/10365/26924
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spelling ndltd-ndsu.edu-oai-library.ndsu.edu-10365-269242021-09-28T17:11:31Z Spatial Statistical and Multivariate Regression Approach to Earthwork Shrinkage-Factor Calculation Shamo, Benedict In this research, a linear shrinkage factor model, which is the result of spatial and statistical modeling, was developed for the state of North Dakota. The input variables for the developed shrinkage factor models were derived from spatially modeled soil data which makes the function responsive to soil variability across the state. The current approach for selecting the shrinkage correction factor in earthwork contracts across the state of North Dakota is through a trial-and-error system. This deterministic system employs the judgment of experienced engineers in selecting a shrinkage factor value for earthwork contracts. The current approach assumes shrinkage factor uniformity and does not provide a measure of the estimate's reliability. Due to the heterogeneous nature of soil properties across the state, the trial-and-error approach for selecting the shrinkage factor greatly impacts earthwork volumes, which could lead to contract variations and increase the cost of contract administration. North Dakota Department of Transportation (NDDOT) 2017-12-04T18:06:59Z 2017-12-04T18:06:59Z 2013 text/thesis https://hdl.handle.net/10365/26924 NDSU Policy 190.6.2 https://www.ndsu.edu/fileadmin/policy/190.pdf application/pdf North Dakota State University
collection NDLTD
format Others
sources NDLTD
description In this research, a linear shrinkage factor model, which is the result of spatial and statistical modeling, was developed for the state of North Dakota. The input variables for the developed shrinkage factor models were derived from spatially modeled soil data which makes the function responsive to soil variability across the state. The current approach for selecting the shrinkage correction factor in earthwork contracts across the state of North Dakota is through a trial-and-error system. This deterministic system employs the judgment of experienced engineers in selecting a shrinkage factor value for earthwork contracts. The current approach assumes shrinkage factor uniformity and does not provide a measure of the estimate's reliability. Due to the heterogeneous nature of soil properties across the state, the trial-and-error approach for selecting the shrinkage factor greatly impacts earthwork volumes, which could lead to contract variations and increase the cost of contract administration. === North Dakota Department of Transportation (NDDOT)
author Shamo, Benedict
spellingShingle Shamo, Benedict
Spatial Statistical and Multivariate Regression Approach to Earthwork Shrinkage-Factor Calculation
author_facet Shamo, Benedict
author_sort Shamo, Benedict
title Spatial Statistical and Multivariate Regression Approach to Earthwork Shrinkage-Factor Calculation
title_short Spatial Statistical and Multivariate Regression Approach to Earthwork Shrinkage-Factor Calculation
title_full Spatial Statistical and Multivariate Regression Approach to Earthwork Shrinkage-Factor Calculation
title_fullStr Spatial Statistical and Multivariate Regression Approach to Earthwork Shrinkage-Factor Calculation
title_full_unstemmed Spatial Statistical and Multivariate Regression Approach to Earthwork Shrinkage-Factor Calculation
title_sort spatial statistical and multivariate regression approach to earthwork shrinkage-factor calculation
publisher North Dakota State University
publishDate 2017
url https://hdl.handle.net/10365/26924
work_keys_str_mv AT shamobenedict spatialstatisticalandmultivariateregressionapproachtoearthworkshrinkagefactorcalculation
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