Recent studies have highlighted the existence of a gap between actual and perceived safety shown that feelings insecurity can affect individuals’ travel behavior before during journey. In this paper, methodology is proposed for assessing determinants travelers’ perception security in railway stations. The methodological approach includes focus groups, stated preference (SP) surveys, estimation ...

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...

D choice models of aggregate demand, such as the random coefficients logit, can handle large differentiated products categories parsimoniously while still providing flexible substitution patterns. However, the discrete choice assumption may not be appropriate for many categories in which we expect consumers may purchase more than one unit of the selected item. We derive the aggregate demand sys...

Abstract: A procedure is derived for estimating the parameter in case of missing data. The missing data mechanism is considered as missing at random (MAR) and non-ignorable. Here we use EM algorithm for logit link approach in generalized linear model. The logit link approach shows that it can effectively estimate the value of a categorical variable when we have information on the other categori...

We consider assortment and price optimization problems under the d-level nested logit model. In the assortment optimization problem, the goal is to find the revenue-maximizing assortment of products to offer, when the prices of the products are fixed. Using a novel formulation of the d-level nested logit model as a tree of depth d, we provide an efficient algorithm to find the optimal assortmen...

While there is general agreement that consumer taste heterogeneity is crucially important in marketing, there is no consensus on a preferred approach to modeling heterogeneity. In this paper, we assess the performance of five alternative choice models, using ten empirical data sets. We include the popular latent class (LC) model, and the mixed logit (MIXL) model where utility weights are assume...

This paper identifies several serious problems with the widespread use of ANOVAs for the analysis of categorical outcome variables such as forced-choice variables, question-answer accuracy, choice in production (e.g. in syntactic priming research), et cetera. I show that even after applying the arcsine-square-root transformation to proportional data, ANOVA can yield spurious results. I discuss ...

Segmentation of perivascular spaces (PVS) from brain magnetic resonance images (MRI) is important for understanding the brain’s lymphatic system and its relationship with neurological diseases. The Frangi filter might be a valuable tool for this purpose. However, its parameters need to be adjusted in response to the variability in scanner’s parameters and study protocols. Knowing the neuroradio...

In this article, we study the semiparametric proportional odds model with random effects for correlated, right-censored failure time data. We establish that the maximum likelihood estimators for the parameters of this model are consistent and asymptotically Gaussian. Furthermore, the limiting variances achieve the semiparametric efficiency bounds and can be consistently estimated. Simulation st...