We propose a new method for analysis of multivariate point pattern data observed in heterogeneous environment and with complex intensity functions. suggest semiparametric models the functions that depend on an unspecified factor common to all types points. This is example well suited analyzing spatial covariate effects events such as street crime activities occur urban environment. A multinomia...

Logistic regression may be useful when we are trying to model a categorical dependent variable (DV) as a function of one or more independent variables. This paper reviews the case when the DV has more than two levels, either ordered or not, gives and explains SAS R © code for these methods, and illustrates them with examples.

The authors investigate the relationship between individual attributes and support for municipal detachment by analyzing a recent survey of Los Angeles voters. In this survey, San Fernando Valley residents were asked whether they favored detachment from Los Angeles and reorganization as a separate city. Multinomial logit regression results indicate that support for detachment is influenced by d...

Consider a category of product variants distinguished by some attribute such as color or flavor. A retailer must construct an assortment for the category, i.e., select a subset variants to stock and determine purchase quantities for each offered variant. We analyze this problem using a multinomial logit model to describe the consumer choice process and a newsboy model to represent the retailer’...

In this article, we investigate the attributes of victims in information security incidents for the purpose of reducing the damages. Information-Technology Promotion Agency (IPA) conducted the Internet (Web-based) survey titled “Survey of awareness toward information security incidents” whose targets are the Japanese Internet users at October 2010. By using micro data collected from the survey,...

In conventional random-utility models, such as the multinomial logit model, it is assumed that a decisionmaker's choice set is independent of his or her preferences conditional on the explanatory variables of the models. However, there are many situations in which the decisionmaker chooses the choice set, thereby making the independence assumption implausible. For example, if information about ...

This paper contrasts the discovered preference hypothesis against the theory of coherent arbitrariness in a split-sample stated choice experiment on flood risk exposure in the Netherlands. A semi-parametric local multinomial logit model (L-MNL) is developed as an alternative to the Swait and Louviere (1993) procedure to control for preference dynamics within and between samples. The L-MNL model...

Forests in lowland Bolivia suffer from severe deforestation caused by different types of agents and land use activities. We identify three major proximate causes of deforestation. The largest share of deforestation is attributable to the expansion of mechanized agriculture, followed by cattle ranching and small-scale agriculture. We utilize a spatially explicit multinomial logit model to analyz...