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- W2103188043 abstract "For the case where Y is a length-biased random variable corresponding to a random variable X having an inverse-Gaussian or gamma distribution, it is shown that Y can be written as a linear combination of X and a chi-square random variable and, conversely, X can be characterized through this relationship. Finally, the Wald distribution is characterized.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
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- W2103188043 title "Characterization of inverse-Gaussian and gamma distributions through their length-biased distributions" @default.
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- W2103188043 doi "https://doi.org/10.1109/24.46490" @default.
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