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- W2065263105 abstract "Abstract The problem of approximation of the moment-determinate cumulative distribution function (cdf) from its moments is studied. This method of recovering an unknown distribution is natural in certain incomplete models like multiplicative-censoring or biased sampling when the moments of unobserved distributions are related in a simple way to the moments of an observed distribution. In this article some properties of the proposed construction are derived. The uniform and L 1 -rates of convergence of the approximated cdf to the target distribution are obtained." @default.
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- W2065263105 date "2008-09-01" @default.
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- W2065263105 title "Hausdorff moment problem: Reconstruction of distributions" @default.
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- W2065263105 doi "https://doi.org/10.1016/j.spl.2008.01.011" @default.
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