| Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
|
|
|---|---|---|
| Article Number | 05051 | |
| Number of page(s) | 7 | |
| Section | Environmental Economics and Management | |
| DOI | https://doi.org/10.1051/e3sconf/202337105051 | |
| Published online | 28 February 2023 | |
Statistical evaluation of production indicators
Russian Biotechnological University, 125080 Moscow, Russian Federation
* Corresponding author: renemaas@yandex.ru
The industry is characterized by a rather complex technological cycle and has many economic entities involved in the implementation of the products of this industry. Under these conditions, the construction of an optimal management system of a food enterprise cannot be carried out without the presence of formed practical analysis models that contribute to the identification of patterns of their functioning. The use of statistical data in it, which allow us to take into account laws and established trends in the development of forecasts for the development of various industries. Mathematical analysis of statistical data in industry is based on various models and methods, among which the advantage is given to economic and mathematical or simulation modeling. By means of traditional mathematical models during static observation, trends and forecasts of the development of the industry are built, the study of which is aimed at this article.
© The Authors, published by EDP Sciences, 2023
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