. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear … estimated coefficients of an ordinal regression model can not be properly interpreted we show other methods for a better insight … their suppliers in the 'overall satisfaction' and in 38 questions which can be summarized in 8 dimensions. An ordinal …

. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear … estimated coefficients of an ordinal regression model can not be properly interpreted we show other methods for a better insight … their suppliers in the ?overall satisfaction? and in 38 questions which can be summarized in 8 dimensions. An ordinal …

evaluation, using ordinal regression, show significant differences in farmers' preference by year and site. There was, however …, little effect of farm and farmer characteristics such as farm size and gender of the observer. Ordinal regression of farmers …

communicated to the policy community. We compare the results from quantile regression and ordinal regression models. The two …

Robust Ordinal Regression (ROR) supports Multiple Criteria Decision Process by considering all sets of parameters of an …

may obtain, and (4) the distributions of these ranks. Our work combines previous results from Robust Ordinal Regression …

We extend the principle of robust ordinal regression with an analysis of extreme ranking results. In our proposal, we … ordinal regression. Then, we consider all complete rankings that follow the use of the compatible preference models, and we … overall ranking, and not only in terms of pairwise comparisons, as it is the case in original robust ordinal regression …