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The overlapping coefficient as a measure of agreement between probability distributions and point estimation of the overlap of two normal densities

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This research aims to define the overlapping coefficient as a measure of agreement between two probability distributions.
Describes the overlapping coefficient and its relationship to the dissimilarity index.
Presents maximum-likelihood estimation of the overlap for two normal distributions.
Estimates the overlapping coefficient using sample data.
The overlapping coefficient effectively quantifies agreement between two distributions.
Maximum-likelihood estimation provides a robust method for estimating distribution overlap.

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Randomized trial assesses agreement between probability distributions, indicating a novel estimation method.

Inman et al. (1989) studied this question.

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