Titlebook: Advances in Latent Variables; Methods, Models and Maurizio Carpita,Eugenio Brentari,El Mostafa Qanna Book 2015 The Editor(s) (if applicabl

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978-3-319-38023-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Advances in Latent Variables978-3-319-02967-2Series ISSN 2194-7767 Series E-ISSN 2194-7775

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Special Considerations for the Elderly,. We adopted Non-Metric PLS Path Modeling to analyse a large administrative dataset containing nominal and ordinal variables using a specialized R package now available. We suggest a model in order to perform a preliminary quantitative study of the job success of Sapienza University of Rome graduates in terms of quality of work.

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https://doi.org/10.1007/978-1-4614-4451-0 to each local unit. We assumed the total number of employees per local unit as a constraint. A computationally intensive optimization problem has been solved for each of the ca. 200 thousands multilocated enterprises. The results refer to year 2011.

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Clinical Radiology of Head and Neck Tumorsty periods the use of forecast combinations allows to improve over the predictive accuracy of the single candidate models (b) performing the combination over the subset of most accurate models does not significantly reduce the accuracy of the combined predictor.