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- W2034973650 abstract "Abstract In order to adapt the classical kernel density estimator to data, we modify it in such a way that it is a probability density with mean μ n and variance σ 2 n , where μ n and σ 2 n are unspecified estimators of the mean and the variance of the density to be estimated. Using simulations techniques the performances of this estimator and the classical one are compared." @default.
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- W2034973650 date "1990-03-01" @default.
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- W2034973650 title "Adapting the classical kernel density estimator to data" @default.
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- W2034973650 doi "https://doi.org/10.1016/0167-9473(90)90117-z" @default.
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