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Crime is at alarming rate in this part of world and there are many factors that are contributing to this antisocietal behavour both among the youths and old. In this work, principal component analysis (PCA) was used as a tool to reduce the dimensionality and to really know those variables that were crime prone in the study region. Data were collected on twenty-eight crime variables from National Bureau of Statistics (NBS) databank for a period of fifteen years, while retaining as much of the information as possible.
Femi J. Ayoola. 2015. "On the Estimation of Crime Rate in the Southwest of Nigeria: Principal Component Analysis Approach". Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 15 (GJSFR Volume 15 Issue F2).
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
v1.2
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Total Score: 148
Country: Nigeria
Subject: Global Journal of Science Frontier Research
Authors: Femi J. Ayoola, Adeyemi M. A.,Jabaru, S. O. (PhD/Dr. count: 0)
View Count (all-time): 310
Total Views (Real + Logic): 1144
Total Downloads (simulated): 84
Publish Date: 2015 02, Sun
Monthly Totals (Real + Logic):
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