مراجع [1] Nelder, J. and Wedderburn, R. W. M. (1972), Generalized Linear Models, Journal of the Royal Statistical Society, Series A, 135, 370-384.
[2] Journel, A. G. (1983), Nonparametric Estimation of Spatial Distribution, Mathematical Geology, 15, 445-468. [3] Basu, S. and Reinsel, G. C. (1994), Regression Models with Spatially Correlated Errors, Journal of the American Statistical Association, 89,88-99.
[4] Reinsel, G. C. and Cheng, W. K. (2003), Approximate ML and REML Estimation for Regression Models with Spatial or Time Series AR (1) Noise, Statistics and Probability Letters, 62, 123-135. [5] Best, N. G. (1999), Bayesian Models for Spatially Correlated Disease and Exposure Data, Bayesian Statistics 6, edited by J. M. Bernardo, B. O. Berger, A. P. Dawid and A. F. M. Smith, Oxford University Press, Oxford, UK. 131-156. [6] Banerjee, S., Carlin, B. P. and Gelfand, A. E. (2004), Hierarchical Modeling and Analysis for Spatial Data, Chapman and Hall, London. [7] Cressie, N. (1993), Statistical for Spatial Data, Wiley, New York.
[8] Besage, J. E. (1974), Spatial Interaction and Statistical Analysis of Lattice System, Journal of the Royal Statistical Society, Series B, 36 , 192-236. [9] Pascutto, C. (2000), Statistical Issues in the Analysis of Disease Mapping Data, Statistics in Medicine, 19, 2493-2519. [10] Baily, T. (2001), Spatial Statistical Analysis in Health, Cadernos de Saude Publica, 17, 1083-1098. [11] Marjerison, W, M. (2006), Bayesian Logistic Regression with Spatial Correlation, MSc Thesis, Worcester Polytechnic Institute, Worcester, Massachusetts, USA. [12] Molenberghs, G. (2005), Models for Discrete Longitudinal Data. Springer Science, New York. [13 [محمدزاده، م. و کیاپور، آ. (1387 ،(پیشگویی فضایی دادههای سخت و نرم برای تهیه نقشه احتمال یخزدگی، مجله امیرکبیر، سال نوزدهم، شماره ه-68 ،44-37
)