Scan Statistics Viewed as Maximum of 1-Dependent Random Variables

George Haiman () and Cristian Preda ()
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Cristian Preda: Université de Lille, Laboratoire Paul Painlevé

Chapter 26 in Handbook of Scan Statistics, 2024, pp 543-554 from Springer

Abstract: Abstract A method of approximating the distribution function of the partial maximum sequence generated by a 1-dependent stationary sequence can be applied to estimate the distribution function of one or multidimensional scan statistics. The method, which provides error bounds for the approximations, was investigated and evaluated in several papers.

Keywords: Scan statistics; d-dependence; Poisson process (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-1-4614-8033-4_9

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