standard multinomial, nested and mixed logit models (Eluru Municipal)
90
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Eluru Municipal
standard multinomial, nested and mixed logit models
Standard Multinomial, Nested And Mixed Logit Models, supplied by Eluru Municipal, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/standard+multinomial%2C+nested+and+mixed+logit+models/mixed+logit+model/pm25016457-81-5-41
Average 90 stars, based on 1 article reviews
Standard Multinomial, Nested And Mixed Logit Models, supplied by Eluru Municipal, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/standard+multinomial%2C+nested+and+mixed+logit+models/mixed+logit+model/pm25016457-81-5-41
Average 90 stars, based on 1 article reviews
standard multinomial, nested and mixed logit models - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: A multinomial logit analysis of risk factors influencing road traffic injury severities in the Erzurum and Kars Provinces of Turkey. Article Snippet: A retrospective cross-sectional study is conducted analysing 11,771 traffic accidents reported by the police between January 2008 and December 2013 which are classified into three injury severity categories: fatal, injury, and no injury.. Based on this classification, a multinomial logit analysis is performed to determine the risk factors affecting the severity of traffic injuries.. The estimation results reveal that the following factors increase the probability of fatal injuries: drivers over the age of 65; primary-educated drivers; single-vehicle accidents; accidents occurring on state routes, highways or provincial roads; and |