Generalized Maximum Entropy Estimation Method for Studying the Effect of the Management’s Factors on the Enterprise Performances

Enrico Ciavolino
Researcher of Statistics, University of Salento, Department of Philosophy & Social Science, Italy

Jens J. Dahlgaard
Division of Quality Technology, Linköping University, Linköping, Sweden

Ladda ner artikelhttp://www.ep.liu.se/ecp_article/index.en.aspx?issue=026;article=044

Ingår i: 10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden

Linköping Electronic Conference Proceedings 26:44, s.

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Publicerad: 2008-02-15


ISSN: 1650-3686 (tryckt), 1650-3740 (online)


The aim of this paper is to show the results of a survey that the University Consortium in Engineering for Quality and Innovation has led. A sample of Italian manufacturing companies was selected in order to verify the abilities to manage the human resources effectively; the spreading level of an effective and aware Leadership and the ability of strategic planning according to of a correct identification of the objectives. Moreover an alternative estimation approach; based on the maximization of the entropy function; is presented for estimating the parameters of the model presented. The data collected was analyzed with a multidimensional statistical method based on a Generalized Maximum Entropy (GME) estimation approach. This method is widely used in linear modelling and is presented here by considering a new algorithm for the estimation of the parameters of the model. Moreover; the data are analyzed by the Partial Least Squares regression (PLS); for a comparative study with GME.


Generalized Maximum Entropy; Leadership; Human Resources; Strategic Planning; Performance


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