Nonparametric estimation of spatial segregation in a multivariate point process: bovine tuberculosis in Cornwall, UK

被引：62

作者：

Diggle, P

Zheng, PP ^{[1
]}

Durr, P

机构：

[1] Univ Lancaster, Fylde Coll, Dept Math & Stat, Lancaster LA1 4YF, England

[2] Vet Labs Agcy, Weybridge, Surrey, England

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | 2005年 / 54卷

关键词：

bovine tuberculosis; Monte Carlo test; multivariate point process; spatial segregation;

D O I：

10.1111/j.1467-9876.2005.05373.x

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：645 / 658

页数：14

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