Chapter 7 Economic Coenosis Stability: Methodology and Findings
| Autor: | V. M. Dzhukha, A. N. Kuzminov, N. G. Korostieva, O. A. Ternovsky |
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| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
Computational complexity theory Computer science Stochastic modelling 020209 energy Computation Frame (networking) Stability (learning theory) 02 engineering and technology 010501 environmental sciences 01 natural sciences Stochastic frontier analysis Work (electrical) 0202 electrical engineering electronic engineering information engineering 0105 earth and related environmental sciences Parametric statistics |
| DOI: | 10.1108/s1569-375920180000100008 |
| Popis: | Stochastic models are seldom used when we analyze the stability and the efficiency of enterprise cost systems. Despite of numerous restrictions, along with the complexity of mathematic formalization, this approach would encourage more rational use of resources under conditions of extreme change in external and internal business environments. Different methods of Maximum Likelihood Estimations (MLE) have been introduced to weaken these parametric drawbacks. However, the high computational complexity makes its use difficult. This work prevailingly demonstrates the use of coenosis theory to design and analyze cost systems of industrial enterprises, including the use of numerically reliable statistical computations. This approach can also be observed as a delicate parametric adjustment of economic coenosis structures ensuring stability and sustainability. The chapter provides the example of the mentioned methodology within the frame of an ordinary industrial enterprise. |
| Databáze: | OpenAIRE |
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