Modelling Overdispersion with Integer-Valued Moving Average Processes

Resume

This work is cataloged in the Scientific Portal. Officially published in Stochastic Models, Statistics and Their Applications (2019). Referenced as: "Silva, Maria Eduarda; Silva, Isabel; Torres, Cristina".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.1007/978-3-030-28665-1_21

Bibliographic & Editorial Details

Venue / Journal / Book Stochastic Models, Statistics and Their Applications

Publisher Springer International Publishing

Volume & Issue Vol. 294

Pagination Pages 291 - 303

Role Coauthor

Official Identifiers

DOI: 10.1007/978-3-030-28665-1_21

ISSN: 2194-1009

Autores & Descoberta de Ciência ID

Identificação dos autores da instituição e deteção de coautores via FCT Ciência Vitae.

Autor(es) da Instituição

C

Cristina Maria Dias Pereira Torres Investigador

Ciência ID: 111C-A2B8-EBB4

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Coautores da Obra

Autores discriminados na citação da publicação:

Silva, Maria Eduarda; Silva, Isabel; Torres, Cristina

Clique no botão acima para consultar a API da FCT e descobrir os perfis Ciência ID dos coautores.

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Modelling Overdispersion with Integer-Valued Moving Average Processes 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Modelling Overdispersion with Integer-Valued Moving Average Processes 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Other Related Publications

Perspectives of Companies and Employees from the Great Place To Work (GPTW) Ranking on Remote Work in Portugal: A Methodological Proposal

The Importance of Technical Documentation in User Experience: an Empirical Study in Higher Education

Information management in small and medium-sized industrial companies in Portugal: behavior, memory and innovation (Gestão da informação nas pequenas e médias empresas industriais de Portugal: comportamento, memória e inovação)

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