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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3094
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dc.contributor.authorSiti aisyah Nawawien_US
dc.contributor.authorAmal Najihah Muhamad Noren_US
dc.contributor.authorRohazaini Muhammad Jamilen_US
dc.contributor.authorNorfadhilah Ibrajhimen_US
dc.contributor.authorNorashikin Fauzien_US
dc.contributor.authorSiti Hajar Ya'acoben_US
dc.contributor.authorWan Nur Fazni Wan Mohamad Nazarieen_US
dc.contributor.authorRabihah Nawawien_US
dc.date.accessioned2022-01-23T07:12:14Z-
dc.date.available2022-01-23T07:12:14Z-
dc.date.issued2021-
dc.identifier.other978-967-2912-89-7-
dc.identifier.urihttp://hdl.handle.net/123456789/3094-
dc.descriptionOthersen_US
dc.description.abstractA Poisson log-linear Leroux Conditional Autoregressive model with different neighbourhood weight matrices will be applied to the poverty data to estimate the relative risk of poverty. This estimation allows for the identification of high-risk and low-risk poverty areas. In addition, this method will determine the covariates that significantly contribute to poverty.en_US
dc.language.isoenen_US
dc.subjectConditional Autoregressive modelen_US
dc.subjectneighbourhood weight matricesen_US
dc.titleEstablish Spatial Statistics System Design For Poverty Risk Estimationen_US
dc.typeNationalen_US
dc.relation.conferenceCARNIVAL OF RESEARCH & INNOVATION VIRTUAL INTERNATIONAL EDITIONen_US
dc.date.seminarstartdate2021-09-20-
dc.date.seminarenddate2021-09-21-
dc.description.placeofseminarUNIVERSITI MALAYSIA KELANTANen_US
dc.description.seminarorganizerUNIVERSITI MALAYSIA KELANTANen_US
dc.description.typeProceeding Papersen_US
dc.contributor.correspondingauthoraisyah.n@umk.edu.myen_US
item.languageiso639-1en-
item.grantfulltextopen-
item.openairetypeNational-
item.fulltextWith Fulltext-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.deptUNIVERSITI MALAYSIA KELANTAN-
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