Statistical process control of overdispersed count data based on one‐parameter Poisson mixture models-Reference-Cited by-同舟云学术

Statistical process control of overdispersed count data based on one‐parameter Poisson mixture models

Published:2022-02-08 Issue:5 Volume:38 Page:2324-2344
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Quality & Reliability Eng

Author:

Jesus Bruno D.¹,Ferreira Paulo H.¹^ORCID,Boaventura Laion L.¹,Fiaccone Rosemeire L.¹,Bertoli Wesley²^ORCID,Ramos Pedro L.³^ORCID,Louzada Francisco⁴^ORCID

Affiliation:

1. Department of Statistics Federal University of Bahia Salvador Bahia Brazil

2. Department of Statistics Federal University of Technology ‐ Paraná Curitiba Paraná Brazil

3. Facultad de Matemáticas Pontificia Universidad Católica de Chile Santiago Chile

4. Institute of Mathematics and Computer Science University of São Paulo São Carlos São Paulo Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.3077

Reference55 articles.

1. Analysis of Overdispersed Count Data by Mixtures of Poisson Variables and Poisson Processes

2. A generalized model for overdispersed count data

3. Distributions to model overdispersed count data;Coly S;J Soc Fr Stat,2016

4. Integrative Analysis of Spatial Heterogeneity and Overdispersion of Crime with a Geographically Weighted Negative Binomial Model

5. Over-and Underdispersion Models

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