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.
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Cucala, L. (2017). Variable Window Scan Statistics: Alternatives to Generalized Likelihood Ratio Tests. In: Glaz, J., Koutras, M. (eds) Handbook of Scan Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8414-1_36-1
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DOI: https://doi.org/10.1007/978-1-4614-8414-1_36-1
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