Abstract
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.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Ng, Set Foong ngsetfoong061@ppinang.uitm.edu.my Ch’ng, Pei Eng UNSPECIFIED Chew, Yee Ming UNSPECIFIED Ng, Kok Shien UNSPECIFIED |
Subjects: | S Agriculture > S Agriculture (General) > Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships |
Divisions: | Universiti Teknologi MARA, Shah Alam > Research Management Centre (RMC) |
Journal or Publication Title: | Scientific Research Journal |
UiTM Journal Collections: | UiTM Journal > Scientific Research Journal (SRJ) |
ISSN: | 1675-7009 |
Volume: | 11 |
Number: | 1 |
Page Range: | pp. 16-28 |
Keywords: | Lagrange Multipliers, estimator, error, variance, soil properties |
Date: | 2014 |
URI: | https://ir.uitm.edu.my/id/eprint/12793 |