Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.]

Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values fo...

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Main Authors: Ng, Set Foong, Ch’ng, Pei Eng, Chew, Yee Ming, Ng, Kok Shien
Format: Article
Language:English
Published: Research Management Institute (RMI) 2014
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Online Access:http://ir.uitm.edu.my/id/eprint/12793/1/AJ_NG%20SET%20FOONG%20SRJ%2014%201.pdf
http://ir.uitm.edu.my/id/eprint/12793/
https://srj.uitm.edu.my/
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spelling my.uitm.ir.127932016-05-26T03:12:10Z http://ir.uitm.edu.my/id/eprint/12793/ Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.] Ng, Set Foong Ch’ng, Pei Eng Chew, Yee Ming Ng, Kok Shien Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this paper is an unbiased estimator. The partiality of the estimator with respect to the true value is zero. Hence, the estimated value will be equal to the true value of the soil property. It is also shown that the variance between the estimator and the soil property is minimized. Hence, the distribution of this unbiased estimator with minimum variance spreads the least from the true value. With this characteristic of minimum variance unbiased estimator, a high accuracy estimation of soil property could be obtained. Research Management Institute (RMI) 2014 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/12793/1/AJ_NG%20SET%20FOONG%20SRJ%2014%201.pdf Ng, Set Foong and Ch’ng, Pei Eng and Chew, Yee Ming and Ng, Kok Shien (2014) Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.]. Scientific Research Journal, 11 (1). pp. 16-28. ISSN 1675-7009 https://srj.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships
spellingShingle Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships
Ng, Set Foong
Ch’ng, Pei Eng
Chew, Yee Ming
Ng, Kok Shien
Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.]
description Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this paper is an unbiased estimator. The partiality of the estimator with respect to the true value is zero. Hence, the estimated value will be equal to the true value of the soil property. It is also shown that the variance between the estimator and the soil property is minimized. Hence, the distribution of this unbiased estimator with minimum variance spreads the least from the true value. With this characteristic of minimum variance unbiased estimator, a high accuracy estimation of soil property could be obtained.
format Article
author Ng, Set Foong
Ch’ng, Pei Eng
Chew, Yee Ming
Ng, Kok Shien
author_facet Ng, Set Foong
Ch’ng, Pei Eng
Chew, Yee Ming
Ng, Kok Shien
author_sort Ng, Set Foong
title Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.]
title_short Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.]
title_full Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.]
title_fullStr Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.]
title_full_unstemmed Applying the method of Lagrange Multipliers to derive an estimator for unsampled soil properties / Ng Set Foong ... [et al.]
title_sort applying the method of lagrange multipliers to derive an estimator for unsampled soil properties / ng set foong ... [et al.]
publisher Research Management Institute (RMI)
publishDate 2014
url http://ir.uitm.edu.my/id/eprint/12793/1/AJ_NG%20SET%20FOONG%20SRJ%2014%201.pdf
http://ir.uitm.edu.my/id/eprint/12793/
https://srj.uitm.edu.my/
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score 13.15806