Logistics and Transport Management Master Thesis No 2003:6.
The SPSS Ordinal Regression procedure, or PLUM (Polytomous Universal Model), is an extension of the general linear model to ordinal categorical data. You can specify five link functions as well as scaling parameters. The procedure can be used to fit heteroscedastic probit and logit models. 70 Chapter 4 Fitting an Ordinal Logit Model Before delving into the formulation of ordinal regression.
Abstract (en) This master thesis analyses the management of Returnable Transportation Items in Belgian organizations in order to obtain a broader view of what is happening in the field and to identify the several issues that could be encountered. The research has been carried out in four main steps: The first part of the thesis corresponds to a theoretical analysis, a literature review, to.
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The Logistics Capacity Assessment (LCA) tool contains baseline information about the logistics capacity of countries relevant for humanitarian emergency preparedness and response. The tool is hosted by WFP for the global humanitarian community. LCAs cover logistics infrastructure, processes and regulations, markets, and contacts in a given.
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Economic development policies such as the Enterprise Zone have been pursued with different designs by state and local governments in many countries. These programs can be defined by a double objective: to promote and control economic growth. This thesis investigates the compatibility of these public policies with the location strategies of the private companies based on their logistical needs.
In this paper we are focused on hierarchical logistic regression models, which can be fitted using the new SAS procedure GLIMMIX (SAS Institute, 2005). Proc GLIMMIX is developed based on the GLIMMIX macro (Little et al., 1996) and provides highly useful tools for fitting generalized linear mixed models, of which the hierarchical logistic model is a special case. We will show how to use GLIMMIX.