Summary
Traditional tests on spatial clustering are based on statistics counting pairs of events at contiguous points. We consider families of spatial clustering processes, for which locally optimal tests are based on statistics additionally counting tuples of greater length. Counting only pairs is a locally optimal strategy if clusters tend to consist of only two points near the null-hypothesis. The power of the new tests is investigated in a simulation study.
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© 1994 Springer-Verlag Berlin Heidelberg
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Vach, W. (1994). Locally optimal tests on spatial clustering. In: Diday, E., Lechevallier, Y., Schader, M., Bertrand, P., Burtschy, B. (eds) New Approaches in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51175-2_18
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DOI: https://doi.org/10.1007/978-3-642-51175-2_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58425-4
Online ISBN: 978-3-642-51175-2
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