References
Deutsch, C. V., and Journel, A. G., 1997, GSLIB. Geostatistical software library and user’s guide: Oxford University Press, New York. 369 p.
Haas, T. C., 1990, Lognormal and moving window methods of estimating acid deposition: J. Am. Stat. Assoc., v. 85, no. 412, p. 950–963.
Härdle, W., 1990, Applied nonparametric regression: Cambridge University Press, Cambridge, UK. 333 p.
Koike, K., Matsuda, S., and Gu, B., 2001, Evaluation of interpolation accuracy of neural kriging with application to temperature-distribution analysis: Math. Geol., v. 33, no. 4, p. 421–448.
Setiono, R., and Hui, L. C. K., 1995, Use of a Quasi-newton method in a feedforward neural network construction algorithm: IEEE Trans. Neural Netw., v. 6, no. 1, p. 273–277.
Smola, A. J., and Schölkopf, B., 2004, A tutorial on support vector regression: Stat. Comput., v. 14, p. 199–222.
Specht, D., 1991, A general regression neural network: IEEE Trans. Neural Netw., v. 2, no. 6, p. 568–576.
Vapnik, V. N., 1995, The nature of statistical learning theory: Springer-Verlag, New York, 188 p.
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Haas, T.C. Analysis and Modeling of Spatial Environmental Data. Math Geol 37, 943–946 (2005). https://doi.org/10.1007/s11004-005-9232-0
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DOI: https://doi.org/10.1007/s11004-005-9232-0