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References
- Agresti A. 2007. Categorical Data Analysis. New Jersey: John Wiley and Sons.
- Aidi MN, Purwaningsih T. 2013. Modelling Spatial Ordinal Logistic Regression and The Principal Component to Predict Poverty Status of Districts in Java Islandâ€, International Journal of Statistics and Aplication 3(1):1-8
- Anselin, L. 1998. Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic Publishers.
- Brunsdon, C., Fotheringham A.S., Charlton M.1999. Some notes on parametric significancetests for geographically weighted regression, Journal of Regional Science, Vol. 39, No 3, 497-524
- Cressie Noel A C. 1993. Statistics for Spatial Data. Revised Edition. John Wiley & Sons, Inc.
- Drapper, N.R, & Smith, H. 1998. Applied Regression Analysis 3rd Edition. Canada : John Wiley and Sons, Inc.
- Fotheringham A.S., Brunsdon C., Chartlon M. (2002). Geographically Weighted Regression, the analysis of spatially varying relationships, John Wiley and Sons, LTD.
- Fotheringham AS, Rogerson PA. 2009. Spatial Analysis. London: Sage Publications, Inc.
- Garson GD. LogisticRegression. [link] http://www.chass.ncsu.edu [11 April 2015].
- Haining Robert. 2004. Spatial Data Analysis Theory and Practice. Cambridge University Press.
- Hosmer DW, Lemeshow S. 2000. Applied Logistic RegressionSecond Edition. New York : John Wiley and Sons.
- Lee J, Wong DWS. 2001. Statistic for Spatial Data. New York : John Wiley & Sons, Inc.
- Lee J, Wong DWS. 2001. Statistical Analysis ArchView GIS. New York: John Wiley & Sons, Inc.
- Leung Y., Mei Chang L., and ZhangWen X. 2000. Statistical Test for Spatial Non Stationarity based on the geographically Weighted Regression Model, Environment and Planning, vol. 32, 9-32.
- Purwaningsih T, et.al. 2015. Comparison of Unifrom and Kernel Gaussian Weight Matrix in Generalized Spatial Panel Data Model. Open Journal of Statistics 5, 90-95.
- Ward MD, Gleditsch KS. 2008. Spatial Regression Models. Los Angeles: Sage Publications, Inc.
References
Agresti A. 2007. Categorical Data Analysis. New Jersey: John Wiley and Sons.
Aidi MN, Purwaningsih T. 2013. Modelling Spatial Ordinal Logistic Regression and The Principal Component to Predict Poverty Status of Districts in Java Islandâ€, International Journal of Statistics and Aplication 3(1):1-8
Anselin, L. 1998. Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic Publishers.
Brunsdon, C., Fotheringham A.S., Charlton M.1999. Some notes on parametric significancetests for geographically weighted regression, Journal of Regional Science, Vol. 39, No 3, 497-524
Cressie Noel A C. 1993. Statistics for Spatial Data. Revised Edition. John Wiley & Sons, Inc.
Drapper, N.R, & Smith, H. 1998. Applied Regression Analysis 3rd Edition. Canada : John Wiley and Sons, Inc.
Fotheringham A.S., Brunsdon C., Chartlon M. (2002). Geographically Weighted Regression, the analysis of spatially varying relationships, John Wiley and Sons, LTD.
Fotheringham AS, Rogerson PA. 2009. Spatial Analysis. London: Sage Publications, Inc.
Garson GD. LogisticRegression. [link] http://www.chass.ncsu.edu [11 April 2015].
Haining Robert. 2004. Spatial Data Analysis Theory and Practice. Cambridge University Press.
Hosmer DW, Lemeshow S. 2000. Applied Logistic RegressionSecond Edition. New York : John Wiley and Sons.
Lee J, Wong DWS. 2001. Statistic for Spatial Data. New York : John Wiley & Sons, Inc.
Lee J, Wong DWS. 2001. Statistical Analysis ArchView GIS. New York: John Wiley & Sons, Inc.
Leung Y., Mei Chang L., and ZhangWen X. 2000. Statistical Test for Spatial Non Stationarity based on the geographically Weighted Regression Model, Environment and Planning, vol. 32, 9-32.
Purwaningsih T, et.al. 2015. Comparison of Unifrom and Kernel Gaussian Weight Matrix in Generalized Spatial Panel Data Model. Open Journal of Statistics 5, 90-95.
Ward MD, Gleditsch KS. 2008. Spatial Regression Models. Los Angeles: Sage Publications, Inc.