{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T16:15:45Z","timestamp":1776874545405,"version":"3.51.2"},"reference-count":69,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T00:00:00Z","timestamp":1685059200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"CQUniversity Destination Australia Living Stipend Scholarship and the International Excellence Award","award":["RH6100"],"award-info":[{"award-number":["RH6100"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Axioms"],"abstract":"<jats:p>Fires in buildings are significant public safety hazards and can result in fatalities and substantial financial losses. Studies have shown that the socioeconomic makeup of a region can impact the occurrence of building fires. However, existing models based on the classical stepwise regression procedure have limitations. This paper proposes a more accurate predictive model of building fire rates using a set of socioeconomic variables. To improve the model\u2019s forecasting ability, a backward elimination by robust final predictor error (RFPE) criterion is introduced. The proposed approach is applied to census and fire incident data from the South East Queensland region of Australia. A cross-validation procedure is used to assess the model\u2019s accuracy, and comparative analyses are conducted using other elimination criteria such as p-value, Akaike\u2019s information criterion (AIC), Bayesian information criterion (BIC), and predicted residual error sum of squares (PRESS). The results demonstrate that the RFPE criterion is a more accurate predictive model based on several goodness-of-fit measures. Overall, the RFPE equation was found to be a suitable criterion for the backward elimination procedure in the socioeconomic modeling of building fires.<\/jats:p>","DOI":"10.3390\/axioms12060524","type":"journal-article","created":{"date-parts":[[2023,5,27]],"date-time":"2023-05-27T16:18:43Z","timestamp":1685204323000},"page":"524","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Modeling Socioeconomic Determinants of Building Fires through Backward Elimination by Robust Final Prediction Error Criterion"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9085-1543","authenticated-orcid":false,"given":"Albertus","family":"Untadi","sequence":"first","affiliation":[{"name":"School of Engineering and Technology, Central Queensland University, Rockhampton, QLD 4701, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2220-2389","authenticated-orcid":false,"given":"Lily D.","family":"Li","sequence":"additional","affiliation":[{"name":"School of Engineering and Technology, Central Queensland University, Rockhampton, QLD 4701, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6019-1035","authenticated-orcid":false,"given":"Michael","family":"Li","sequence":"additional","affiliation":[{"name":"School of Engineering and Technology, Central Queensland University, Rockhampton, QLD 4701, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roland","family":"Dodd","sequence":"additional","affiliation":[{"name":"School of Engineering and Technology, Central Queensland University, Rockhampton, QLD 4701, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,26]]},"reference":[{"key":"ref_1","unstructured":"Kelly, A. 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