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Table 4 Analytical characteristics of semivariogram models used to detect the best-fitted one

From: Lessening the adverse effect of the semivariogram model selection on an interpolative survey using kriging technique

	ME	RMSE	ASE	MSE	RMSSE
Gaussian	0.02	8.41	8.03	0.08	0.97
Magnetic	3.52	18.21	21.36	3.18	3.14
Spherical	5.24	20.07	23.21	7.01	3.20
Exponential	17.36	29.57	32.33	18.32	3.54

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