We propose the method for selecting classification boundaries for the logistic regression model, by applying the sparse regularization. We can investigate which combination of classification boundaries are truly necessary for the multinomial logistic model by encouraging some of coefficient parameters themselves or their differences toward exactly zeros. The model is estimated by the maximum pe...

3 Model Specification 5 3.1 Binary choice . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3.1.1 The binary probit model . . . . . . . . . . . . . . . . . . 6 3.1.2 The binary logit model . . . . . . . . . . . . . . . . . . . 7 3.2 More than two choices . . . . . . . . . . . . . . . . . . . . . . . 8 3.2.1 The multinomial probit model . . . . . . . . . . . . . . . 8 3.2.2 The multinomi...

In this paper we estimate the demand for rock climbing and calculate welfare measures for changing access to a number of climbs at a climbing area. In addition to the novel recreation application, we extend the travel cost methodology by combining the double hurdle count data model (DH) with a multinomial logit model of site-choice. The combined model allows us simultaneously to explain the dec...

Engel curves are often estimated within a linear, or at least approximately linear system of equations. However, Engel curves are required to lie on or within the unit interval, while summing to unity. These restrictions are not easily accommodated within a linear system. Therefore, we apply the fractional multinomial logit model in our estimation of expenditure shares, because it more readily ...

This paper presents the design of a system for personalization of contents and advertising for readers of online newspapers. This software is conceived to work in a context of high network traffic with millions of URLs served each day. The model is divided into two subsystems. The first one takes care of the recommendation of news items. The mathematical model is based on the PageRank algorithm...

This study presents the random-effects rating scale model (RE-RSM) which takes into account randomness in the thresholds over persons by treating them as randomeffects and adding a random variable for each threshold in the rating scale model (RSM) (Andrich, 1978). The RE-RSM turns out to be a special case of the multidimensional random coefficients multinomial logit model (MRCMLM) (Adams, Wilso...

The aim of this paper is to describe the structure of the household’s energy demand as a discretercontinuous choice and, on this basis, establish an econometric model suitable for the data available in the Norwegian Energy Sur̈ eys. The discrete appliance choice is Ž specified as a multinomial logit model, with a mixture of appliance attributes operating . Ž . costs and individual characteristic...

This paper is an empirical study to the effects of economic outcomes on party choice for the Netherlands. In the first part of the paper we employ a multinomial logit model to examine the links between voters' characteristics and party choice. The results suggest that there are long-run movements in party choice which are unlikely be the result of changing economic outcomes. In the second part,...

this study aims at comparing the performance of logistic regression, maximum entropy, and multilayer perceptron techniques in preparing the predictive habitat distribution map of amygdalus scoparia in rangelands of qom province. for this purpose, vegetation sampling was done using random systematic methods after identifying pure habitats of this species. for soil sampling, eight profiles were e...