References
- Alexander, N., Moyeed, R., and Stander, J. (2000), “Spatial Modelling of Individual-Level Parasite Counts using the Negative Binomial Distribution,” Biostatistics, 1, 453–463.
- Bockarie, M. J., Alexander, N. D. E., Hyun, P., Dimber, Z., Bockarie, F., Ibam, E., Alpers, M. P., and Kazura, J. W. (1998), “Randomised Community-Based Trial of Annual Single-Dose Diethylcarbamazine With or Without Ivermectin Against Wuchereria bancrofti Infection in Human Beings and Mosquitoes,” Lancet, 351, 162–168.
- Bonat, W. H., and Ribeiro Jr, P. J. (2016), “Practical Likelihood Analysis for Spatial Generalized Linear Mixed Models,” Environmetrics, 27, 83–89.
- Diggle, P. J., and Milne, R. K. (1983), “Bivariate Cox Processes: Some Models for Bivariate Spatial Point Patterns,” Journal of the Royal Statistical Society, Series B, 45, 11–21.
- Diggle, P. J., and Ribeiro Jr., P. J. (2007), Model-Based Geostatistics, New York: Springer.
- Diggle, P. J., Tawn, J. A., and Moyeed, R. A. (1998), “Model-Based Geostatistics,” Applied Statistics, 47, 299–350.
- Fingleton, B. (1986), “Analyzing Cross-Classified Data with Inherent Spatial Dependence,” Geographical Analysis, 18, 48–61.
- Gräler, B., Ayyad, C., and Mateu, J. (2017), “Prediction of Count Data Based on Weakly Dependent Spatial Covariates Using a Copula Approach - Application to Rat Sightings,” Environmental and Ecological Statistics, 24, 433–448.
- Johnson, L. J., and Kotz, S. (1972), Distributions in Statistics: Continuous Multivariate Distributions, New York: Wiley.
- Lin, P.- S., and Clayton, M. K. (2005), “Analysis of Binary Spatial Data by Quasi-Likelihood Estimating Equations,” Annals of Statistics, 33, 542–555.
- Lin, P.- S. (2008), “Estimating Equations for Spatially Correlated Data in Multi-Dimensional Space,” Biometrika, 95, 847–858.
- McCullagh, P., and Nelder, J. A. (1989), Generalized Linear Models, London: Chapman & Hall.
- Oman, S. D., Landsman, V., Carmel, Y., and Kadmon, R. (2007), “Analyzing Spatially Distributed Binary Data Using Independent-Block Estimating Equations,” Biometrics, 63, 892–900.
- Pearson, K. (1901), “Mathematical Contributions to the Theory of Evolution-VII. On the Correlation of Characters not Quantitatively Measurable,” Philosophical Transactions of the Royal Society of London, Series A, 195, 1–47.
- Tamayo-Uria, T., Mateu, J., and Diggle, P. J. (2014), “Modelling of the Spatio-Temporal Distribution of Rat Sightings in an Urban Environment,” Spatial Statistics, 9, 192–206.
- Zeger, S. L., Liang, K.- Y., and Albert, P. S. (1988), “Models for Longitudinal Data: A Generalized Estimating Equation Approach,” Biometrics, 44, 1049–1060.