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Note onk-point separation measurement

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Summary

Glick [1] introduced the notion of a separation measurement and showed that for a setf 1,…,f k of densities,\(S_K^* \left( {f_1 ,f_2 , \cdots ,f_K } \right) = 2\left[ {\smallint \max \left\{ {f_1 ,f_2 , \cdots ,f_K } \right\} - 1} \right]\) is aK-point separation measurement. This notion is some generalization of Matusita's distance (affinity) of densitiesf 1,f 2, …,f k, and its interesting applications were shown in Matusita [2], [3]. In this paper we given some statistical remarks on a separation measurement.

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References

  1. Glick, N. (1973). Separation and probability of correct classification among two or more distributions,Ann. Inst. Statist. Math.,25, 373–382.

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  2. Matusita, K. (1967). On the notion of affinity of several distributions and some of its applications,Ann. Inst. Statist. Math.,19, 181–192.

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  3. Matusita, K. (1971). Some properties of affinity and its applications,Ann. Inst. Statist. Math.,23, 137–155.

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Takahashi, R. Note onk-point separation measurement. Ann Inst Stat Math 30, 177–179 (1978). https://doi.org/10.1007/BF02480211

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  • DOI: https://doi.org/10.1007/BF02480211

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