Abstract
For absolutely continuous distributions it is more convenient to write all results in terms of distribution functions. We recall that the distribution function of F is \(F(x) = F\{(-\infty,x]\}\) and \(\displaystyle{ F(x) =\int \limits _{ -\infty }^{x}f(y)\,\mbox{ d}y,\qquad \widehat{F}(t) =\int \limits _{ -\infty }^{\infty }\mathrm{e}^{\mathrm{i}tx}f(x)\,\mathrm{d}x. }\) Here f(x) is a nonnegative function integrable on the real line, called the density of F.
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Čekanavičius, V. (2016). Absolutely Continuous Approximations. In: Approximation Methods in Probability Theory. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-319-34072-2_8
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DOI: https://doi.org/10.1007/978-3-319-34072-2_8
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