168
Views
2
CrossRef citations to date
0
Altmetric
Spatiotemporal Modeling

The Latent Scale Covariogram: A Tool for Exploring the Spatial Dependence Structure of Nonnormal Responses

&
Pages 127-141 | Received 01 Jun 2017, Published online: 29 Oct 2018

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.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.