Variable Window Scan Statistics: Alternatives to Generalized Likelihood Ratio Tests

Lionel Cucala ()
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Lionel Cucala: University of Montpellier, Département de Mathématiques, Institut Montpelliérain Alexander Grothendieck

Chapter 38 in Handbook of Scan Statistics, 2024, pp 741-756 from Springer

Abstract: Abstract Classical variable window scan statistics are based on likelihood ratios issued from parametric models. However, these likelihood ratios do not give equal chances to all potential clusters. I introduce alternatives which do not suffer the same problem and describe their properties. I apply these methods to a classical epidemiological data set.

Keywords: Spatial statistics; Scan statistics; Cluster detection; Nonparametric methods; Rank-based methods (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-1-4614-8033-4_36

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