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This paper is about the problem of the treatment of ordinal qualitative variables in co-inertia analysis. In the literature, there are different proposals based on the application of known statistical techniques to quantify ordinal variables. Here we propose to use a new procedure for the coding considering the empirical distributions of the variables involved in the analysis. We present an application to a real dataset, comparing the results obtained with the different kinds of quantification. 相似文献
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Social Indicators Research - The analysis of Customer Satisfaction is an important tool in planning business activities. It allows firms to identify which features and attributes are important for... 相似文献
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Greco Luca Lucadamo Antonio Agostinelli Claudio 《Statistical Methods and Applications》2021,30(2):711-746
Statistical Methods & Applications - A weighted likelihood approach for robust fitting of a finite mixture of linear regression models is proposed. An EM type algorithm and its variant based on... 相似文献
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