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A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.
This is a preview. Log in through your library . Abstract The notion of probability density for a random function is not as straight-forward as in finite-dimensional cases. While a probability density ...
The behaviour of the mean squared errors of estimators of a density and its derivatives proposed by Singh (1977a) is examined. Asymptotic values of mean squared errors at some points, for the normal ...
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