177 mental psychology wlherein deduced concepts and inductions from clinical observation are to be coml)ined in a comprehensive frame of reference within which psyclhological pheenomena in lhumans are to be understood. When a responise mlade by a living organism to a stimtultus must fall inlto one or the other of two mutually exclusive classes, it is knowvn as a quantal or all-or-nothing respon...

Although a lot of work has been devoted to developing crash severity models to predict the probabilities of crashes for different severity levels, very few studies have considered the underreporting issue in the modeling process. Inferences about a population of interest will be biased if crash data are treated as a random sample coming from the population without considering the different unre...

This paper presents a semi-nonparametric estimator for a series of generalized models that nest the Ordered Probit model and thereby relax the distributional assumptions in that model. It describes a new Stata command for the estimation of such models and presents an illustration of the approach.

Background: The PROBIT methodology was presented in the 1995 World Health Organization Technical Report on Anthropometry as an alternative to the standard prevalence based method of measuring malnutrition in children. Theoretically the PROBIT method will always give a smaller standard error than the standard prevalence method in measuring malnutrition. A recent article by Dale et al. assessed t...

BACKGROUND The PROBIT methodology was presented in the 1995 World Health Organization Technical Report on Anthropometry as an alternative to the standard prevalence based method of measuring malnutrition in children. Theoretically the PROBIT method will always give a smaller standard error than the standard prevalence method in measuring malnutrition. A recent article by Dale et al. assessed th...

Deprivation scales derived from multiple, typically dichotomous, indicators, are increasingly being used to measure households’ standards of living, and to complement poverty measures based on low income. We propose a type of multivariate probit model that generalizes the classical measurement model underlying the deprivation scale approach, allowing for heterogeneity and explicitly recognizing...

Understanding the underlying relationship between pedestrian injury severity outcomes and factors leading to more severe injuries is very important in dealing with the problem of pedestrian safety. To investigate injury severity outcomes, many previous works relied on statistical regression models. There has also been some interest for data mining techniques, in particular for clustering techni...

The industrial sector accounts for about a third of the energy usage in the United States. Given the potential of energy savings from the industrial sector, it is important to look at the factors influencing industrial firms’ decision to adopt energy efficiency measures. The Industrial Assessment Centers (IAC) program offered by U.S. Department of Energy provides free energy efficiency assessme...

difference aspects of multinomial statistical modelings and its classifications has been studied so far. in these type of problems y is the qualitative random variable with t possible states which are considered as classifications. the goal is prediction of y based on a random vector x ? ir^m. many methods for analyzing these problems were considered. one of the modern and general method of cla...