Models Based on Exponential Interarrival Times for Single-Unusual-Event Count Data

Autor: Skulpakdee, Wanrudee, Hunkrajok, Mongkol

At least one unusual event appears in some count datasets. It will lead to a more concentrated (or dispersed) distribution than the Poisson, the gamma, the Weibull, and the Conway-Maxwell-Poisson (CMP) can accommodate. These well-known count models a

Externí odkaz: http://arxiv.org/abs/2104.15087

Unusual-event processes for count data

Autor: Hunkrajok, Mongkol, Skulpakdee, Wanrudee

Publikováno v: SORT-Statistics and Operations Research Transactions; Vol. 46, Núm. 1 (2022); 39-66
SORT-Statistics and Operations Research Transactions; 2022: Vol.: 46 Núm.: 1 January-June; 39-66
oai:raco.cat:article/401117
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)

At least one unusual event appears in some count datasets. It will lead to a more concentrated (or dispersed) distribution than the Poisson, gamma, Weibull, Conway-Maxwell-Poisson (CMP), and Faddy (1997) models can accommodate. These well-known count

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::70826f0d982315a4cb0eac1c46192e24
http://hdl.handle.net/20.500.11797/RP4886