Exploring the usefulness of the INLA model in predicting levels of crime in the City of Johannesburg, South Africa

Autor: Toshka Coleman, Paul Mokilane, Mapitsi Rangata, Jenny Holloway, Nicolene Botha, Renee Koen, Nontembeko Dudeni-Tlhone

Publikováno v: Crime Science, Vol 13, Iss 1, Pp 1-14 (2024)

Abstract Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers. This information can be used to identify high-crime areas, and optimise resource allocat

Externí odkaz: https://doaj.org/article/3076ab44008b4a2d96789592380650e6

A Rasch analysis to determine the difficulty of the National Senior Certificate Mathematics examination

Autor: Joyce Sewry, Paul Mokilane

Publikováno v: Perspectives in Education, Vol 32, Iss 1 (2014)

The National Senior Certificate (NSC) examinations were written for the second time in 2009 amid much criticism. In this study, scripts of candidates who wrote the NSC Mathematics examinations (papers 1 and 2) in 2009 were used as data to analyse the

Externí odkaz: https://doaj.org/article/4f75474e8b9844448ab540d1a56fe924

Density forecasting for long-term electricity demand in South Africa using quantile regression

Autor: Provesh Debba, J.S. Galpin, V. S. Sarma Yadavalli, Renee Koen, Paul Mokilane, Siphamandla Sibiya

Publikováno v: South African Journal of Economic and Management Sciences, Volume: 21, Issue: 1, Pages: 1-14, Published: 2018
South African Journal of Economic and Management Sciences, Vol 21, Iss 1, Pp e1-e14 (2018)

Background: This study involves forecasting electricity demand for long-term planning purposes. Long-term forecasts for hourly electricity demands from 2006 to 2023 are done with in-sample forecasts from 2006 to 2012 and out-of-sample forecasts from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::786634b936cdba40fb14ca36fd5a7863
http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S2222-34362018000100010&lng=en&tlng=en