A NOTE ON THE BIVARIATE GENERALIZED POISSON DISTRIBUTION OF TYPE 1

Given the univariate generalized Poisson distribution as defined by Déniz and Sarabia [5], in this paper, we construct a bivariate generalized Poisson distribution of type 1 whose marginal distributions are univariate generalized Poisson distributions according to Déniz and Sarabia [5]. We also show that this distribution belongs to the family of bivariate Poisson distributions. Under certain conditions, this distribution converges in distribution to the bivariate Poisson distribution of Berkhout and Plug [4]. It also converges to the bivariate Poisson distribution of Lakshminarayana et al. [9].

Authors

Publication Details

Journal
Far East Journal of Theoretical Statistics
Published
2025-04-14
DOI
https://doi.org/10.17654/0972086325007
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A NOTE ON THE BIVARIATE GENERALIZED POISSON DISTRIBUTION OF TYPE 1

Dominique Mizère, P. C. Batsindila Nganga, Réolie Foxie Mizélé Kitoti, E. Nguessolta
Far East Journal of Theoretical Statistics
Statistical Distribution Estimation and Applications
article

A NOTE ON THE BIVARIATE GENERALIZED POISSON DISTRIBUTION OF TYPE 1

Dominique Mizère, P. C. Batsindila Nganga, Réolie Foxie Mizélé Kitoti, E. Nguessolta
article en

Abstract

Given the univariate generalized Poisson distribution as defined by Déniz and Sarabia [5], in this paper, we construct a bivariate generalized Poisson distribution of type 1 whose marginal distributions are univariate generalized Poisson distributions according to Déniz and Sarabia [5]. We also show that this distribution belongs to the family of bivariate Poisson distributions. Under certain conditions, this distribution converges in distribution to the bivariate Poisson distribution of Berkhout and Plug [4]. It also converges to the bivariate Poisson distribution of Lakshminarayana et al. [9].

Far East Journal of Theoretical StatisticsVol. 69(2)
Openalex Percentile: Top 92%
Statistical Distribution Estimation and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.