1 citations · 2 across the 2 of their papers we have counts for
3 papers
math.PR2020
Bounds for the accuracy of invalid normal approximation
Alexandra Dorofeeva, Victor Korolev, Alexander Zeifman
In applied probability, the normal approximation is often used for the distribution of data with assumed additive structure. This tradition is based on the central limit theorem fo…
math.PR2016★ 1 cited
Bounds for the concentration functions of random sums under relaxed moment conditions
V. Yu. Korolev, A. V. Dorofeeva
Estimates are constructed for the deviation of the concentration functions of sums of independent random variables with finite variances from the folded normal distribution functio…
math.PR2015★ 1 cited
Bounds of the accuracy of the normal approximation to the distributions of random sums under relaxed moment conditions
V. Yu. Korolev, A. V. Dorofeeva
Bounds of the accuracy of the normal approximation to the distribution of a sum of independent random variables are improved under relaxed moment conditions, in particular, under t…