A statistical framework for the analysis of multivariate infectious disease surveillance counts
Author:
Affiliation:
1. Department of Statistics, University of Munich, Munich, Germany,
2. Department of Statistics, University of Munich, Munich, Germany
Abstract
Publisher
SAGE Publications
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://journals.sagepub.com/doi/pdf/10.1191/1471082X05st098oa
Reference22 articles.
1. Empirical Bayes estimators and non-parametric mixture models for space and time-space disease mapping and surveillance
2. Spatial Correlation in Ecological Analysis
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