Cluster analysis in railroad logistics in Kazakhstan - Dauletbakov, Bakytkan;Dauletbakov, Galym
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This research addresses issues related to the developed methodology for assessing the effectiveness of the structure of railroad logistics of the Republic of Kazakhstan. The purpose of the study is to review and evaluate the effectiveness of the railway logistics of the Republic of Kazakhstan using regression models based on cluster analysis. In the work, the grouping of transport and logistics systems was carried out according to the indicators that have the most significant impact on the objects of transport and logistics infrastructure. Since the grouping of transport and logistics systems…mehr

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Produktbeschreibung
This research addresses issues related to the developed methodology for assessing the effectiveness of the structure of railroad logistics of the Republic of Kazakhstan. The purpose of the study is to review and evaluate the effectiveness of the railway logistics of the Republic of Kazakhstan using regression models based on cluster analysis. In the work, the grouping of transport and logistics systems was carried out according to the indicators that have the most significant impact on the objects of transport and logistics infrastructure. Since the grouping of transport and logistics systems is required to produce a number of factors that are of heterogeneous nature (quantitative, point estimation), the methods of cluster analysis were used to solve this problem.
Autorenporträt
Bakytkan Dauletbakov - Academician of the National Academy of Agrarian Sciences of the Republic of Kazakhstan, Doctor of Economics, Professor. Author of more than 300 scientific articles, 15 monographs, 25 textbooks. "Honored Worker of Education of the Republic of Kazakhstan" and winner of the grant "Best University Teacher" of the Ministry of Education and Science of the Republic of Kazakhstan.