Abstract In binary and ordinal regression one can distinguish between a location component scaling component. While the former determines within range of response categories, indicates variance heterogeneity. particular since it has been demonstrated that misleading effects occur if ignores presence component, is important to account for potential in model, which not possible available recursiv...

Ordinal models can be seen as being composed from simpler, in particular binary models. This view on ordinal allows to derive a taxonomy of that includes basic regression models, with more complex parameterizations, the class hierarchically structured and recently developed finite mixture The overview is given covers existing shows how extended account for further effects explanatory variables....

We propose in this article a Composite Logistic Regression (CLR) approach for ordinal panel data regression. The new method transforms the original ordinal regression problem into a number of binary ones. Thereafter, the method of conditional logistic regression (Chamberlain, 1984; Wooldridge, 2001; Hsiao, 2003) can be directly applied. As a result, the new method allows the unobserved subject ...

The multicriteria method MUSA (MUlticriteria Satisfaction Analysis) for measuring and analysing customer satisfaction is presented in this paper. The MUSA method is a preference disaggregation model following the principles of ordinal regression analysis (inference procedure). The integrated methodology evaluates the satisfaction level of a set of individuals (customers, employees, etc.) based ...

In this paper we deal with an urban and territorial planning problem by applying the Non Additive Robust Ordinal Regression (NAROR). NAROR is a recent extension of the Robust Ordinal Regression (ROR) family of Multiple Criteria Decision Aiding (MCDA) methods to the Choquet integral preference model which permits to represent interaction between considered criteria through the use of a set of no...

BACKGROUND The London Measure of Unplanned Pregnancy (LMUP) is a psychometrically validated measure of the degree of intention of a current or recent pregnancy. The LMUP is increasingly being used worldwide, and can be used to evaluate family planning or preconception care programs. However, beyond recommending the use of the full LMUP scale, there is no published guidance on how to use the LMU...

Recently ordinal regression has attracted much interest in machine learning. The goal of ordinal regression is to assign each instance a rank, which should be as close as possible to its true rank. We propose an effective tree-based algorithm, called Ranking Tree, for ordinal regression. The main advantage of Ranking Tree is that it can group samples with closer ranks together in the process of...

The classical multivariate statistical method can only discuss the effectiveness of result, but can’t explain the cause and intrinsic mechanism when dealing with classification problems. In this paper, a new rough sets decision method based on the Principal Component Analysis (PCA) and the ordinal regression is proposed which may help to explain the cause and the intrinsic mechanism of classifi...