INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA
The method of interval estimation of resource consumption volumes is considered with the random nature of a multitude of random factors. The necessity of taking into account errors in the values of functions and arguments when estimating the parameters of mathematical models is shown. To take into a...
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Publishing House of the State University of Management
2018
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oai:doaj.org-article:750b5f26d6714b41b4931b76512d6e4b2021-12-03T07:43:27ZINTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA1816-42772686-841510.26425/1816-4277-2018-12-64-70https://doaj.org/article/750b5f26d6714b41b4931b76512d6e4b2018-12-01T00:00:00Zhttps://vestnik.guu.ru/jour/article/view/1227https://doaj.org/toc/1816-4277https://doaj.org/toc/2686-8415The method of interval estimation of resource consumption volumes is considered with the random nature of a multitude of random factors. The necessity of taking into account errors in the values of functions and arguments when estimating the parameters of mathematical models is shown. To take into account the random nature of the initial information when estimating the parameters of the models, it is proposed to use methods of confluent analysis. A method has been developed that allows one to obtain point and interval estimates of model parameters, as well as interval estimates of functional dependencies with stochastic initial data. The developed method is used in predicting the volume of energy consumption at a housing and utilities complex enterprise.Y. GagarinS. GagarinaPublishing House of the State University of Managementarticleinterval estimationresource consumptionsource data uncertaintyforecastingconfluent analysisSociology (General)HM401-1281Economics as a scienceHB71-74RUВестник университета, Vol 0, Iss 12, Pp 64-70 (2018) |
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interval estimation resource consumption source data uncertainty forecasting confluent analysis Sociology (General) HM401-1281 Economics as a science HB71-74 |
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interval estimation resource consumption source data uncertainty forecasting confluent analysis Sociology (General) HM401-1281 Economics as a science HB71-74 Y. Gagarin S. Gagarina INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA |
description |
The method of interval estimation of resource consumption volumes is considered with the random nature of a multitude of random factors. The necessity of taking into account errors in the values of functions and arguments when estimating the parameters of mathematical models is shown. To take into account the random nature of the initial information when estimating the parameters of the models, it is proposed to use methods of confluent analysis. A method has been developed that allows one to obtain point and interval estimates of model parameters, as well as interval estimates of functional dependencies with stochastic initial data. The developed method is used in predicting the volume of energy consumption at a housing and utilities complex enterprise. |
format |
article |
author |
Y. Gagarin S. Gagarina |
author_facet |
Y. Gagarin S. Gagarina |
author_sort |
Y. Gagarin |
title |
INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA |
title_short |
INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA |
title_full |
INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA |
title_fullStr |
INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA |
title_full_unstemmed |
INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA |
title_sort |
interval estimation of the volumes of resource consumption at the stochastic basic data |
publisher |
Publishing House of the State University of Management |
publishDate |
2018 |
url |
https://doaj.org/article/750b5f26d6714b41b4931b76512d6e4b |
work_keys_str_mv |
AT ygagarin intervalestimationofthevolumesofresourceconsumptionatthestochasticbasicdata AT sgagarina intervalestimationofthevolumesofresourceconsumptionatthestochasticbasicdata |
_version_ |
1718373576044707840 |