in order to investigate effective factors on bread waste and determine effect genial of each factor on probability of being each family in three categories of low-medium, high and extra high bread waste, the order logit model and the 352 families data from mashad city were taken in use. the samples have been selected using a simple random sampling method. the survey of marginal effect in order ...

Studying the location of an airport is essential for optimizing its functionality, ensuring safety, and maximizing economic benefits. There are many airports located within a short distance each other, users can often choose to travel between one or other depending on number variables that they value their final choice. In this paper, we design stated preference survey estimate latent class log...

Accuracy is often analyzed using analysis of variance techniques in which the data are assumed to be normally distributed. However, accuracy data are discrete rather than continuous, and proportion correct are constrained to the range 0–1. Monte Carlo simulations are presented illustrating how this can lead to distortions in the pattern of means. An alternative is to analyze accuracy using logi...

longitudinal  study  plays  an  important  role  in  the  epidemiological,  clinical,  and  social  science studies. in these kinds of studies, every individual is observed frequently during a period of time. the statistical analysis of longitudinal presents special opportunities  and challenges. the repeated outcomes for one individual tend to be correlated among themselves also one of the pro...

In this document we describe the Mixture EFA model estimated in Mplus. Four types of dependent variables are possible in this model: normally distributed, ordered categorical with logit or probit link, Poisson distributed with the exponential link function, and censored variables. Inflation is not available for the Censored and Poisson variables. Suppose that we estimate a K class model with M ...

Firms in the hard disk drive industry are continually engaging in R & D and improving the quality of their products. We explore various determinants of the product innovation incentives for firms concerned with both their static and expected future profitability. We estimate the observed innovation outcomes as a function of market condition variables which have significant impact on innovation ...

There is a growing recognition that discrete choice models are capable of providing a more realistic picture of route choice behavior. In particular, influential factors other than travel time that are found to affect the choice of route trigger the application of random utility models in the route choice literature. This paper focuses on path-based, logit-type stochastic route choice models, i...