Mathematics - Combinatorics Mathematics - Probability
We extend a general result showing that the asymptotic behavior of high
moments, factorial or standard, of random variables, determines the
asymptotically normality, from the one dimensional to the multidimensional
setting. This approach differs from the usual moment method which requires that
the moments of each fixed order converge. We illustrate our results by
considering a joint distribution of the numbers of bins (having the same,
finite, capacity) containing a prescribed number of balls in a classical
allocation scheme.
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Details
Title
Multivariate asymptotic normality determined by high moments
Creators
Pawel HItczenko - Drexel University, Mathematics
Nick Wormald
Publication Details
arXiv (Cornell University)
Resource Type
Preprint
Language
English
Academic Unit
Mathematics
Other Identifier
991021903708204721
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