Consistency of the semivariogram-fitting error on ordinary kriging prediction

Nur Ali Amri, Abdul Aziz Jemain, Ahmad Fudholi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Kriging is a construction method that is primarily built based on the structure of experimental semivariograms and the power of fitting. The two functions, i.e., classical and robust semivariograms, are used in the current study. The emivariograms are fitted using two approaches, namely, ordinary least squares and weighted least squares, whereas the spherical and exponential functions are utilized for the theoretical model. The estimation precision is calculated using the root mean square error. The error use of the root mean squares for predictions was tested using the mean absolute deviation.

Original languageEnglish
Pages (from-to)991-995
Number of pages5
JournalARPN Journal of Engineering and Applied Sciences
Volume12
Issue number4
Publication statusPublished - 2017

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Exponential functions
Mean square error

Keywords

  • OLS and WLS fitting
  • Ordinary kriging
  • Semivariogram

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Consistency of the semivariogram-fitting error on ordinary kriging prediction. / Amri, Nur Ali; Jemain, Abdul Aziz; Fudholi, Ahmad.

In: ARPN Journal of Engineering and Applied Sciences, Vol. 12, No. 4, 2017, p. 991-995.

Research output: Contribution to journalArticle

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