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A MATHEMATICAL MODEL FOR EVALUATING THE INFLUENCE OF A GROUP OF FEATURES OF A DIGITAL PORTRAIT OF THE TEACHING STAFF THE COMPETITIVENESS OF THE UNIVERSITY

Fedoseev Artyom Igorevich  (Candidate of Economic Sciences, Associate Professor, Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia )

Ponomareva Ludmila Alekseevna  (Candidate of Physical and Mathematical Sciences, Associate Professor, Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia )

Zabolotnicova Viktoria Sergeevna  (Candidate of Technical Sciences, Associate Professor, Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia )

Romashkova Oxana Nikolaevna  (Doctor of Engineering, Professor, Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia )

The authors set the following task: to investigate the degree of influence of a group of attributes describing the teaching staff on the overall assessment of the HEI rating for the data collected by the Ministry of Education to calculate the overall HEI rating. To calculate the "significance" of the attribute, i.e., the value of the attribute in relation to the others in the calculation of the rating. Construct a discriminant function. As a result of the study of the influence of the personal rating of faculty members on the overall rating of the university, the authors proposed a new formula for scaling the observations - Ci = ABS((Xi-μ)*sqrt(N))/σ, proved the preservation of the identity of the original random variable and the homogeneity of the dispersion after the application of the formula. The evaluation of the interrelationship of trait groups was revealed by clustering method. As a result, 5 attributes most strongly influencing the dependent variable were identified. A discriminatory rule was obtained, separating predicates into significant and non-significant.

Keywords:analysis, statistical model, cluster analysis. forecasting, scaling, university rating, personal rating of the faculty, multivariate normality, feature estimation, discriminating rule

 

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Citation link:
Fedoseev A. I., Ponomareva L. A., Zabolotnicova V. S., Romashkova O. N. A MATHEMATICAL MODEL FOR EVALUATING THE INFLUENCE OF A GROUP OF FEATURES OF A DIGITAL PORTRAIT OF THE TEACHING STAFF THE COMPETITIVENESS OF THE UNIVERSITY // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№04/2. -С. 118-123 DOI 10.37882/2223-2966.2024.4-2.33
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