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
Glick, N. (1973). Separation and probability of correct classification among two or more distributions,Ann. Inst. Statist. Math.,25, 373–382.
Matusita, K. (1967). On the notion of affinity of several distributions and some of its applications,Ann. Inst. Statist. Math.,19, 181–192.
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