Title
Asymptotic Normality Through Factorial Cumulants and Partition Identities.
Abstract
In the paper we develop an approach to asymptotic normality through factorial cumulants. Factorial cumulants arise in the same manner from factorial moments as do (ordinary) cumulants from (ordinary) moments. Another tool we exploit is a new identity for 'moments' of partitions of numbers. The general limiting result is then used to (re-)derive asymptotic normality for several models including classical discrete distributions, occupancy problems in some generalized allocation schemes and two models related to negative multinomial distribution.
Year
DOI
Venue
2013
10.1017/S0963548312000545
COMBINATORICS PROBABILITY & COMPUTING
Keywords
Field
DocType
multinomial distribution,biomedical research,cumulant,bioinformatics,discrete distribution
Edgeworth series,Combinatorics,Factorial moment,Factorial,Cumulant,Negative multinomial distribution,Partition (number theory),Limiting,Mathematics,Asymptotic distribution
Journal
Volume
Issue
ISSN
22
2
0963-5483
Citations 
PageRank 
References 
0
0.34
0
Authors
5