Results 11 to 20 of about 422,036 (343)
A model averaging approach for the ordered probit and nested logit models with applications
, 2018 This paper considers model averaging for the ordered probit and nested logit models, which are widely used in empirical research. Within the frameworks of these models, we examine a range of model averaging methods, including the jackknife method, which ...
Longmei Chen +3 more
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Shared Micro-Mobility Services for University Communities: A Multivariate Ordered Probit Approach
Transportation Research Record, 2023 The market penetration of shared micro-mobility services (shared bikes, e-bikes, and e-scooters) suggest that young and highly educated people constitute a group of people that is more eager to use such services.
Christos Gkartzonikas, L. Dimitriou
semanticscholar +1 more source
Analysis of Digital Life Effect of Residents’ Trust Based on Multivariate Discrete Choice Model
Journal of Function Spaces, 2022 In view of the impact of digital life on residents’ trust, firstly, based on the data of China Household Finance Survey (CHFS), this paper analyzes the change of residents’ trust in the era of data flooding.
Fan Zeng, Xiao Cao, Huan-Ming Zhang
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International Journal of Transportation Science and Technology, 2023 This paper provides an integrated analytical framework to investigate the demographic and behavioural factors that significantly influence public support for pedestrianisation. Pedestrianisation is often introduced by local authorities with the intention
Torran Semple, Grigorios Fountas
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Journal of Intelligent and Connected Vehicles, 2022 Purpose This study aims to investigate the safety and liability of autonomous vehicles (AVs), and identify the contributing factors quantitatively so as to provide potential insights on safety and liability of AVs.
Quan Yuan, X. Xu, Tao Wang, Yuzhi Chen
semanticscholar +1 more source
Addressing Driving Actions of At-Fault Older Drivers: Bayesian Bivariate Ordered Probit Analysis
IEEE Access, 2021 This study aimed to examine the driving actions of at-fault older drivers, and investigate the interrelations between the unobservable factors. To reach the goal, a Bayesian bivariate ordered probit model was proposed, which addressed the driving actions
Daiquan Xiao +3 more
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Ordered Choice Models: Ordinal Logit and Ordinal Probit [PDF]
Journal of Interdisciplinary Sciences, 2022 Classical ordinal logit and probit models are used in studies where the dependent variable is categorical and ordinal. In order to use these models, the assumption of parallel slopes must be met.
Öznur İşçi Güneri +2 more
doaj
Atmosphere, 2022 The potato is the third most consumed crop globally after rice and wheat, but climate change has often disrupted its production. Therefore, adaptation practices are needed to maintain potato productivity.
Tina Sri Purwanti +3 more
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