COMPLEX-VALUED STATISTICAL LEARNING FOR INSPECTING YOUTH LABOUR FORCE PARTICIPATION IN SERBIA
Journal: Journal of Engineering Management and Competitiveness (JEMC) (Vol.10, No. 1)Publication Date: 2020-06-15
Authors : Bulent TUTMEZ Edit TEREK;
Page : 61-72
Keywords : Labour force; Complex number; Youth employment; Measurement uncertainty.;
Abstract
Youth employment in labour force has a critical importance in socio-economic planning. It is expected that the use of dynamic and able-bodied work force can increase the quality of the industrial products and it is also necessary to strengthen the economy. More importantly, the contribution to labour force has a crucial importance for public welfare. At this stage, since the role of young women in the total labour force is not considered sufficiently, this study concentrates on the determination of the relative effect of women labour force. For this purpose, first the youth employment is considered as a complex quantity; along with the real component (young men), the contribution of young women is treated as the imaginary component. By using the data derived from 20 different domains (sectors), the problem is stated as a complex value problem and a measurement uncertainty analysis is utilized. The measurement uncertainty of the complex quantity (employment) is expressed by a region in the complex plane. Finally, a confidence ellipse at 95% confidence level is produced. The phase diagrams produced by statistical learning have provided some abnormalities and also potentials.
Other Latest Articles
- ORGANIZATIONAL COMMITMENT AND TRUST AT WORK BY REMOTE EMPLOYEES
- STRATEGIC ANALYSIS OF ZALAEGERSZEG PROVING GROUND
- KAIZEN IMPLEMENTATION CONTEXT AND PERFORMANCE
- PLANNING, ANALYZING AND OPTIMIZING EXPERIMENTS
- THE IMPLEMENTATION AND MANAGEMENT OF E-LEARNING IN COMPANIES – THE STATE OF E-LEARNING IN HUNGARY BASED ON EMPIRICAL RESEARCH
Last modified: 2020-07-05 18:21:45