FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2765279393> ?p ?o ?g. }

• W2765279393 endingPage "1669" @default.
• W2765279393 startingPage "1652" @default.
• W2765279393 abstract "The empirical Bayes (EB) method is commonly used by transportation safety analysts for conducting different types of safety analyses, such as before–after studies and hotspot analyses. To date, most implementations of the EB method have been applied using a negative binomial (NB) model, as it can easily accommodate the overdispersion commonly observed in crash data. Recent studies have shown that a generalized finite mixture of NB models with K mixture components (GFMNB-K) can also be used to model crash data subjected to overdispersion and generally offers better statistical performance than the traditional NB model. So far, nobody has developed how the EB method could be used with finite mixtures of NB models. The main objective of this study is therefore to use a GFMNB-K model in the calculation of EB estimates. Specifically, GFMNB-K models with varying weight parameters are developed to analyze crash data from Indiana and Texas. The main finding shows that the rankings produced by the NB and GFMNB-2 models for hotspot identification are often quite different, and this was especially noticeable with the Texas dataset. Finally, a simulation study designed to examine which model formulation can better identify the hotspot is recommended as our future research." @default.
• W2765279393 created "2017-11-10" @default.
• W2765279393 creator A5010411051 @default.
• W2765279393 creator A5011555132 @default.
• W2765279393 creator A5040449481 @default.
• W2765279393 creator A5071113267 @default.
• W2765279393 creator A5089797666 @default.
• W2765279393 date "2017-10-24" @default.
• W2765279393 modified "2023-09-29" @default.
• W2765279393 title "Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety" @default.
• W2765279393 cites W1583412610 @default.
• W2765279393 cites W1662941239 @default.
• W2765279393 cites W1980399291 @default.
• W2765279393 cites W1980888841 @default.
• W2765279393 cites W1981177109 @default.
• W2765279393 cites W1981530736 @default.
• W2765279393 cites W1994041126 @default.
• W2765279393 cites W1998428978 @default.
• W2765279393 cites W2003226215 @default.
• W2765279393 cites W2009472238 @default.
• W2765279393 cites W2012012865 @default.
• W2765279393 cites W2015189589 @default.
• W2765279393 cites W2018302799 @default.
• W2765279393 cites W2020764933 @default.
• W2765279393 cites W2036197159 @default.
• W2765279393 cites W2040026814 @default.
• W2765279393 cites W2040956600 @default.
• W2765279393 cites W2051969679 @default.
• W2765279393 cites W2058366343 @default.
• W2765279393 cites W2077345107 @default.
• W2765279393 cites W2082148146 @default.
• W2765279393 cites W2085561298 @default.
• W2765279393 cites W2105807315 @default.
• W2765279393 cites W2106220766 @default.
• W2765279393 cites W21111403 @default.
• W2765279393 cites W2123763935 @default.
• W2765279393 cites W2127248997 @default.
• W2765279393 cites W2128900973 @default.
• W2765279393 cites W2137649509 @default.
• W2765279393 cites W2151098542 @default.
• W2765279393 cites W2170854706 @default.
• W2765279393 cites W2292045100 @default.
• W2765279393 cites W2343811890 @default.
• W2765279393 cites W2488678869 @default.
• W2765279393 cites W2546326542 @default.
• W2765279393 cites W2575125657 @default.
• W2765279393 cites W2606692300 @default.
• W2765279393 cites W3104206536 @default.
• W2765279393 doi "https://doi.org/10.1080/02664763.2017.1389863" @default.
• W2765279393 hasPublicationYear "2017" @default.
• W2765279393 type Work @default.
• W2765279393 sameAs 2765279393 @default.
• W2765279393 citedByCount "50" @default.
• W2765279393 countsByYear W27652793932018 @default.
• W2765279393 countsByYear W27652793932019 @default.
• W2765279393 countsByYear W27652793932020 @default.
• W2765279393 countsByYear W27652793932021 @default.
• W2765279393 countsByYear W27652793932022 @default.
• W2765279393 countsByYear W27652793932023 @default.
• W2765279393 crossrefType "journal-article" @default.
• W2765279393 hasAuthorship W2765279393A5010411051 @default.
• W2765279393 hasAuthorship W2765279393A5011555132 @default.
• W2765279393 hasAuthorship W2765279393A5040449481 @default.
• W2765279393 hasAuthorship W2765279393A5071113267 @default.
• W2765279393 hasAuthorship W2765279393A5089797666 @default.
• W2765279393 hasConcept C100906024 @default.
• W2765279393 hasConcept C105795698 @default.
• W2765279393 hasConcept C107673813 @default.
• W2765279393 hasConcept C117236510 @default.
• W2765279393 hasConcept C127313418 @default.
• W2765279393 hasConcept C146481406 @default.
• W2765279393 hasConcept C149782125 @default.
• W2765279393 hasConcept C152877465 @default.
• W2765279393 hasConcept C183469790 @default.
• W2765279393 hasConcept C199335787 @default.
• W2765279393 hasConcept C199360897 @default.
• W2765279393 hasConcept C207201462 @default.
• W2765279393 hasConcept C33923547 @default.
• W2765279393 hasConcept C41008148 @default.
• W2765279393 hasConcept C8058405 @default.
• W2765279393 hasConceptScore W2765279393C100906024 @default.
• W2765279393 hasConceptScore W2765279393C105795698 @default.
• W2765279393 hasConceptScore W2765279393C107673813 @default.
• W2765279393 hasConceptScore W2765279393C117236510 @default.
• W2765279393 hasConceptScore W2765279393C127313418 @default.
• W2765279393 hasConceptScore W2765279393C146481406 @default.
• W2765279393 hasConceptScore W2765279393C149782125 @default.
• W2765279393 hasConceptScore W2765279393C152877465 @default.
• W2765279393 hasConceptScore W2765279393C183469790 @default.
• W2765279393 hasConceptScore W2765279393C199335787 @default.
• W2765279393 hasConceptScore W2765279393C199360897 @default.
• W2765279393 hasConceptScore W2765279393C207201462 @default.
• W2765279393 hasConceptScore W2765279393C33923547 @default.
• W2765279393 hasConceptScore W2765279393C41008148 @default.
• W2765279393 hasConceptScore W2765279393C8058405 @default.
• W2765279393 hasFunder F4320321001 @default.
• W2765279393 hasIssue "9" @default.
• W2765279393 hasLocation W27652793931 @default.

• next