THE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY
The mathematical method of making forecasts when the initial data uncertainty have been considered. To obtain point and interval estimates of the parameters of mathematical models that take into account errors in the values of the function and argument, the use methods of confluent analysis has been...
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Publishing House of the State University of Management
2019
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oai:doaj.org-article:cf5d254714864de7a14bb3538dca12962021-12-03T07:43:27ZTHE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY1816-42772686-841510.26425/1816-4277-2019-1-94-99https://doaj.org/article/cf5d254714864de7a14bb3538dca12962019-03-01T00:00:00Zhttps://vestnik.guu.ru/jour/article/view/1259https://doaj.org/toc/1816-4277https://doaj.org/toc/2686-8415The mathematical method of making forecasts when the initial data uncertainty have been considered. To obtain point and interval estimates of the parameters of mathematical models that take into account errors in the values of the function and argument, the use methods of confluent analysis has been proposed. For linear models, point estimates and confidence intervals of predictions have been found. The developed method is used to solve the problem of forecasting the volume of services provided by organizations of the housing and utilities complex. The sales volume simulating for different values of time intervals has been conducted and the influence of the initial information error on the model parameter values and predicted values has been analyzed.Yu. GagarinS. GagarinaPublishing House of the State University of Managementarticlepredictionuncertaintyparameter estimatesinput dataconfidence intervalsconfluent analysisSociology (General)HM401-1281Economics as a scienceHB71-74RUВестник университета, Vol 0, Iss 1, Pp 94-99 (2019) |
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prediction uncertainty parameter estimates input data confidence intervals confluent analysis Sociology (General) HM401-1281 Economics as a science HB71-74 |
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prediction uncertainty parameter estimates input data confidence intervals confluent analysis Sociology (General) HM401-1281 Economics as a science HB71-74 Yu. Gagarin S. Gagarina THE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY |
description |
The mathematical method of making forecasts when the initial data uncertainty have been considered. To obtain point and interval estimates of the parameters of mathematical models that take into account errors in the values of the function and argument, the use methods of confluent analysis has been proposed. For linear models, point estimates and confidence intervals of predictions have been found. The developed method is used to solve the problem of forecasting the volume of services provided by organizations of the housing and utilities complex. The sales volume simulating for different values of time intervals has been conducted and the influence of the initial information error on the model parameter values and predicted values has been analyzed. |
format |
article |
author |
Yu. Gagarin S. Gagarina |
author_facet |
Yu. Gagarin S. Gagarina |
author_sort |
Yu. Gagarin |
title |
THE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY |
title_short |
THE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY |
title_full |
THE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY |
title_fullStr |
THE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY |
title_full_unstemmed |
THE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY |
title_sort |
prediction of enterprises activity indicators taking into account the initial data uncertainty |
publisher |
Publishing House of the State University of Management |
publishDate |
2019 |
url |
https://doaj.org/article/cf5d254714864de7a14bb3538dca1296 |
work_keys_str_mv |
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_version_ |
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