A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure...
A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Crime is a negative phenomenon that affects the daily life of the population and its development. When modeling crime data, assumptions on either the spatial or the temporal relationship between observations are necessary if any statistical analysis is to be performed. In this paper, we structure space–time dependency for count data by considering...
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A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes
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TN_cdi_doaj_primary_oai_doaj_org_article_d5c84ecfb9ef46609202ff1f10d5961d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d5c84ecfb9ef46609202ff1f10d5961d
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ISSN
1099-4300
E-ISSN
1099-4300
DOI
10.3390/e24070892
