Results 41 to 50 of about 59,027 (199)
When Politics and Models Collide: Estimating Models of Multi-Party Elections [PDF]
, 1996 Theory: The spatial model of elections can better be represented by using conditional logit than by multinomial logit. The spatial model, and random utility models in general, suffer from a failure to adequately consider the substitutability of ...
Alvarez, R. Michael, Nagler, Jonathan
core
Multimodal Transportation, 2023 Considering the high ratio of group travellers to individual travellers among air-rail integrated service (ARIS) passengers, the airport arrival behaviors of both individual and group ARIS passengers are thoroughly analyzed and compared with the ...
Yonglei Jiang +3 more
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EQA, 2023 Ethiopia has a long tradition of resettling people from drought-prone and degraded areas to sparsely populated parts of the country. This study aimed to investigate resettlement, spatiotemporal dynamics of land use/cover and livelihood aspects in Chewaka
Alemayehu Abera
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Generalized self-consistency: Multinomial logit model and Poisson likelihood [PDF]
Journal of Statistical Planning and Inference, 2008 A generalized self-consistency approach to maximum likelihood estimation (MLE) and model building was developed in (Tsodikov, 2003) and applied to a survival analysis problem. We extend the framework to obtain second-order results such as information matrix and properties of the variance.
Tsodikov, Alex, Chefo, Solomon
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Applied Sciences, 2021 The effect of risk factors on crash severity varies across vehicle types. The objective of this study was to explore the risk factors associated with the severity of rural single-vehicle (SV) crashes.
Fulu Wei +5 more
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BMC Medical Research MethodologyBackground Medical outcomes of interest to clinicians may have multiple categories. Researchers face several options for risk prediction of such outcomes, including dichotomized logistic regression and multinomial logit regression modeling.
Lei Li +3 more
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Context-aware Bayesian mixed multinomial logit model
Journal of Choice ModellingThe mixed multinomial logit model assumes constant preference parameters of a decision-maker throughout different choice situations, which may be considered too strong for certain choice modelling applications. This paper proposes an effective approach to model context-dependent intra-respondent heterogeneity, thereby introducing the concept of the ...
Mirosława Łukawska +2 more
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Advances in Mechanical Engineering, 2017 Among the ways to construct experimental designs having been proposed, orthogonal design, uniform design, and D-efficient design are state-of-the-art methods. This article provides detailed comparisons on the efficiency and robustness among these methods
Hai Zhu +4 more
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Generations, permanent income and housing tenure choice: A multinomial logit model approach [PDF]
Decision Science LettersThis paper examines how generational cohorts influence households’ choices regarding housing tenure and considers the diverse preferences and socio-economic factors that shape decisions—using survey data on 425 families in Ho Chi Minh City ...
Thuy Tien Huynh, Dang Thuy Truong
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Comparing discrete choice and machine learning models in predicting destination choice
European Transport Research ReviewDestination choice modeling has long been dominated by theory-based discrete choice models. Simultaneously, machine learning has demonstrated improved predictive performance to other fields of discrete choice modeling.
Ilona Rahnasto, Martijn Hollestelle
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