1- Einon, B.P., and Switzer, P. (1983). “The variability of rainfall acidity.” Canadian J. of statistics, 11, 11-24.
2- Guttorp, P., Meiring, W., and Sampson, P. (1994). “A space-time analysis of ground level ozone data.” J. of Environmentrics, 5, 241-254.
3- Wikle, C.K., Milliff, R.F., Nychka, D., and Berliner, L.M. (2001). “Spatio-temporal hierarchical bayesian modeling, tropical ocean surface winds.” J. of the American Statistical Association, 96, 382-397.
4- Banerjcee, S., Carlin, B.P., and Gelfand, A.E. (2004). Hierarchical modeling and analysis for spatial data, Boca Raton, F1: Capman and Hall/ CRC, Florida.
5- Rivaz, F., Mohamadzadeh, M., and Jafari Khaledi, M. (2007). “Empirical bayes prediction for space-time data under separable model.” J. of Statistical Sciences, 1, 45-60. (In Persian)
6- Etminan, J. (2005). “Using kriging In hydrogeology studies.” M.Sc. Dissertation, Birjand University. (In Persian)
7- Shafeie, A. (2007). “Spatial-temporal prediction of groundwater level in Birjand region.” M.Sc. Dissertation, Birjand University. (In Persian)
8- Rezapour Tabari, M.M., Ebadi, T., and Maknoon, R. (2010). “Development of a smart model for groundwater level prediction based on aquifer dynamic conditions.” J. of Water and Wastewater, 76, 70-80. (In Persian)
9- Soltani Gerdefaramarzy, S., and Abedi Koupai, J. (2010). “Quantification of groundwater recharge in the karvan aquifier in Esfahan (Iran) using the CRD model.” J. of Water and Wastewater, 76, 92-97. (In Persian)
10- Cressie, N. (1993). Statistics for spatial data, John Wiley and Sons Pub., New York.
11- Kolvos, A., Christakos, G., Hristopulos, D.T., and Serre, M.L. (2004). “Methods for generating nonseparable spatio-temporal covariance models with potential environmental applications advance in water resources.” J. of Advance in Water Resources, 27, 815-830.
12- De Csare, L., Myers, D.E., and Posa, D. (1997). “Spatial-temporal modeling of SO2 in the Milan district.” Baafi, E.Y., and Schofield, N.A. (Eds.). Geostatistics Wolongong, kluwer Academic Pub., Dordrecht.
13- Chunsheng, M.A. (2003). “Spatio-temporal stationary covariance models.” J. of Multivariate Analysis, 86, 97-107.
14- Rouhani, S., and Hall, J. (1989). “Space-time kriging of groundwater data, in Armstrong, M. (ed.) Geostatistics.” J. of Kluwer Academic Publication, 2, 639-651.
15- Myers, D.E., and Journel, A.G. (1990). “Variograms with zonal anisotropies and noninvertible kriging systems.” J. of Mathematical Geology, 22, 758-779.
16- De Cesare, L., Myers, D.E., and Posa, D. (2001). “Estimating and modeling space-time correlation structures.” J. of Statistical and Probability Letters, 51, 9-14.
17- De Iaco, S., Myers, D.E., and Posa, D. (2001). “Space-ttime analysis using a general product-sum model.” J. of Statistical and Probability Letters, 52, 21-28.
18- Sadeghian, A. (2009). “Estimation of spatial-temporal covariogram.” M.Sc. Dissertation, Birjand University, Birjand. (In Persian)
19- Nhu, D.L., and zideck, J.V. (2006). Statistical analysis of environmental space-time procees, Springer Pub., USA.
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