CONSTRUCTION OF REGRESSION MODELS OF LEARNING CURVES FOR THE INDUSTRIAL ENTERPRISES
- Authors: Pavlov O.V.1
-
Affiliations:
- Vice Director of the Institute of Economics and Management, Samara National Research University, 34, Moskovskoye shosse, samara, 443086, Russian Federetion.
- Issue: Vol 8, No 3 (2017)
- Pages: 60-69
- Section: MATHEMATICAL AND INSTRUMENTAL METHODS OF ECONOMICS
- URL: https://journals.ssau.ru/eco/article/view/5827
- DOI: https://doi.org/10.18287/2542-0461-2017-8-3-60-69
- ID: 5827
Cite item
Full Text
Abstract
The problem of constructing regression models of learning curves is considered based on the statistical data of the Salyut JSC enterprise on the production of new products.Using the nonlinear method of least squares, the parameters of five models of learning curves of a given type are defined: Wright's, Stanford-B, Deyong's, logistic and exponential.As a result of the statistical characteristics analysis of the constructed models, the regression dependence is chosen that best approximates the data.
About the authors
O. V. Pavlov
Vice Director of the Institute of Economics and Management, Samara National Research University, 34, Moskovskoye shosse, samara, 443086, Russian Federetion.
Author for correspondence.
Email: morenov.sv@ssau.ru
References
- Wright T.P. Factors affecting the cost of airplanes // Journal of the aeronautical sciences. 1936. V. 3.№ 4. P. 122–128.
- Badiru A. Computational survey of univariate and multivariate learning curvemodels // IEEE Transactions on Engineering Management. 1992. V. 39. № 2. P. 176–188.
- Yelle L.E. The learning curve: Historical review and comprehensive survey // Decision Sciences. 1979. V. 10. № 2. P. 302–328.
- Learning Curves: Theory, Models, and Applications / ed. by Mohamad Y. Jaber. Boca Raton: CRC Press, 2011. 476 p.
- Эконометрика: учебник / под ред. И.И. Елисеевой. М.: Финансы и статистика, 2003. 344 с.
Supplementary files
