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Non-parametric estimation of spatial segregation in a multivariate point process: bovine tuberculosis in Cornwall, UK.

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.

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Abstract

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.

Item Type: Article
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: R Medicine > R Medicine (General)
Departments: Faculty of Health and Medicine > Medicine
VC's Office
Faculty of Science and Technology > Mathematics and Statistics
ID Code: 19374
Deposited By: ep_ss_importer
Deposited On: 20 Nov 2008 12:00
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 15:29
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/19374

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