arXiv · 1609.04910
Strong laws of large numbers for intermediately trimmed sums of i.i.d. random variables with infinite mean
Abstract
We consider moderately trimmed sums of non-negative i.i.d. random variables. We show that for every distribution function there exists a proper moderate trimming such that for the trimmed sum a non-trivial strong law of large numbers holds. In case that the distribution function has regularly varying tails we give necessary and sufficient conditions on the trimming for a strong law of large numbers to hold.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Marc Kesseböhmer, Tanja Schindler. 2017-12-07. Strong laws of large numbers for intermediately trimmed sums of i.i.d. random variables with infinite mean. https://doi.org/10.1007/s10959-017-0802-0
Cite the original work for its findings. Save a collection to share your selection of sources.