نتایج جستجو برای: hierarchical logit models
تعداد نتایج: 987505 فیلتر نتایج به سال:
Pedestrians are the most vulnerable road users. For evaluating and modifying pedestrian safety in unsignalized crosswalks,the first important issue is to identify and explore factors affecting the interaction behavior of pedestrians andvehicles in conflict areas. By analyzing those factors and determining how they affect road user's behavior, we canrepresent the plans and proc...
Background: Having knowledge about utilization of health care services is necessary for resource allocation and scheduling in health sector. The general consensus is that the inequality in the utilization of health care is unjust and unfair and health care systems should ensure equal access to health care based on need. Methods: The main objective of this study was to identify factors i...
We investigate the representation of hierarchical models in terms of marginals of other hierarchical models with smaller interactions. We focus on binary variables and marginals of pairwise interaction models whose hidden variables are conditionally independent given the visible variables. In this case the problem is equivalent to the representation of linear subspaces of polynomials by feedfor...
Among different stochastic user equilibrium (SUE) traffic assignment models, the Logit-based stochastic user equilibrium (SUE) is extensively investigated by researchers. It is constantly formulated as the low-level problem to describe the drivers' route choice behavior in bi-level problems such as network design, toll optimization et al. The Probit-based SUE model receives far less attention c...
conclusions independent variables such as sex, age, hdl-c, sys-bp, bmi, smoking, cholesterol and hs-crp were considered as influencing variables, and education, marital status, disease history, height, waist circumference, diastolic blood pressure and low density lipoprotein were removed from the models. background cardiovascular disease is considered as one of the most common diseases, causing...
Decision Making with Uncertain Judgments: A Stochastic Formulation of the Analytic Hierarchy Process
In the Analytic Hierarchy Process (AHP), priorities are derived via a deterministic method, the eigenvalue decomposition. However, judgments may be subject to error. A stochastic characterization of the pairwise comparison judgment task is provided and statistical models are introduced for deriving the underlying priorities. Specifically, a weighted hierarchical multinomial logit model is used ...
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