Summary
In quantitative ecology the classical index-of-dispersion is widely used for testing the hypothesis of spatial randomness. However, spatial aggregation of individuals is often observed in field experiments, so that the test will frequently reject the hypothesis without indicating any alternatives. In this paper we consider a modified index-of-dispersion test which allows for testing the hypothesis of a spatial Poisson point process with intensity measure having a density λ(x) of the form
with known non-negative regression functions f j (x) and unknown non-negative parameters a j which are to be estimated by the observed data. This model includes the classical case for n = 1 and f 1(x) = 1. Further applications to testing local geographical influences on health data are also pointed out.
Arbeitsgruppe Statistik in der Ökosystemforschung Niedersächsisches Wattenmeer
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© 1996 Springer-Verlag Berlin · Heidelberg
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Pfeifer, D., Ortleb, H., Schleier-Langer, U., Bäumer, HP. (1996). The Index-of-Dispersion Test Revisited. In: Gaul, W., Pfeifer, D. (eds) From Data to Knowledge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79999-0_27
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DOI: https://doi.org/10.1007/978-3-642-79999-0_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60354-2
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