Summary
Grimson and Rose (1991) suggested the use of a join—count statistic for detecting spatial clusters of neurons. We observe certain practical and theoretical difficulties in following this approach and propose instead the use of a maximum statistic. For this statistic, we derive in a similar way as for the disjoint statistic in Krauth (1991) exact upper and lower bounds for the upper tail probabilities. The procedure is illustrated by real data examples.
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© 1996 Springer-Verlag Berlin · Heidelberg
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Krauth, J. (1996). Spatial Clustering of Neurons by Hypergeometric Disjoint Statistics. 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_25
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DOI: https://doi.org/10.1007/978-3-642-79999-0_25
Publisher Name: Springer, Berlin, Heidelberg
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