Open AccessA Retrospective Study on Skellam and Related Distributions
Author(s) -
Lishamol Tomy,
G Veena
Publication year - 2022
Publication title -
österreichische zeitschrift für statistik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.342
H-Index - 9
ISSN - 1026-597X
DOI - 10.17713/ajs.v51i1.1224
Subject(s) - bivariate analysis , count data , integer (computer science) , computer science , distribution (mathematics) , statistics , mathematics , programming language , mathematical analysis , poisson distribution
This paper reviews works on Skellam distribution, its extensions and areas of applications. Available literature shows that this distribution is flexible for modelling integer data where they appear as count data or paired count data in the field of finance, medicine, sports, and science. Bivariate Skellam distribution, dynamic Skellam model and other extensions are also discussed and additional literature are provided.