Forecasting the number of vehicles thefts in Campinas

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorPala, Luiz Otávio de Oliveira-
Autor(es): dc.creatorCarvalho, Marcela de Marillac-
Autor(es): dc.creatorSáfadi, Thelma-
Data de aceite: dc.date.accessioned2026-02-09T11:50:05Z-
Data de disponibilização: dc.date.available2026-02-09T11:50:05Z-
Data de envio: dc.date.issued2022-09-23-
Data de envio: dc.date.issued2022-09-23-
Data de envio: dc.date.issued2021-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/55192-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1148477-
Descrição: dc.descriptionBy definition, thefts are considered the act of taking away other people’s mobile possessions for personal use or for others, affecting crime rates, economic indicators and enabling recent studies to create risk zones in society, contributing to insurance pricing in actuarial methods. This paper analyzes the number of vehicle thefts of 38 locations near Campinas/S˜ao Paulo, Brazil, using a GLARMA(p,q) model with Poisson and Negative Binomial response. The main feature of GLARMA(p,q) is to consider the peculiarities of counting data as high dispersion. As a result, it was possible to verify the adequacy and usefulness of the model for counting data. With specific techniques for estimating time series related to the public security area, patterns can be better understood, revealing relevant information that can be added to decision-making processes to direct public policies.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherUniversità del Salento-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsacesso aberto-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
???dc.source???: dc.sourceElectronic Journal of Applied Statistical Analysis-
Palavras-chave: dc.subjectCtuary-
Palavras-chave: dc.subjectGlarma model-
Palavras-chave: dc.subjectVehicles thefts-
Palavras-chave: dc.subjectPublic policies-
Título: dc.titleForecasting the number of vehicles thefts in Campinas-
Título: dc.titleBrazil using a generalized linear autoregressive moving average model-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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