Abstract
The probability density function is a fundamental concept in statistics. Specifying the density function f of a random variable X on Ω gives a natural description of the distribution of X on the universe Ω. When it cannot be specified, an estimate of this density may be performed by using a sample of n observations independent and identically distributed (X 1,…,X 1) of X.
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Loquin, K., Strauss, O. (2006). Fuzzy Histograms and Density Estimation. In: Lawry, J., et al. Soft Methods for Integrated Uncertainty Modelling. Advances in Soft Computing, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34777-1_7
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DOI: https://doi.org/10.1007/3-540-34777-1_7
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