Diggle, P. J. and Zheng, P. and Durr, P. A. (2005) Non-parametric estimation of spatial segregation in a multivariate point process: bovine tuberculosis in Cornwall, UK. Journal of the Royal Statistical Society: Series C (Applied Statistics), 54 (3). pp. 645-658. ISSN 0035-9254Full text not available from this repository.
The paper is motivated by a problem in veterinary epidemiology, in which spatially referenced breakdowns of bovine tuberculosis are classified according to their genotype and year of occurrence. We develop a nonparametric method for addressing spatial segregation in the resulting multivariate spatial point process, with associated Monte Carlo tests for the null hypothesis that different genotypes are randomly intermingled and no temporal changes in spatial segregation. Our spatial segregation estimates use a kernel regression method with bandwidth selected by a multivariate cross-validated likelihood criterion.
|Journal or Publication Title:||Journal of the Royal Statistical Society: Series C (Applied Statistics)|
|Uncontrolled Keywords:||Bovine tuberculosis • Monte Carlo test • Multivariate point process • Spatial segregation|
|Subjects:||?? r1 ??|
|Departments:||Faculty of Health and Medicine > Medicine|
Faculty of Science and Technology > Mathematics and Statistics
|Deposited On:||20 Nov 2008 12:00|
|Last Modified:||24 Apr 2017 01:21|
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