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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Autores principales: Y. Gagarin, S. Gagarina
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Lenguaje:RU
Publicado: Publishing House of the State University of Management 2018
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Acceso en línea:https://doaj.org/article/750b5f26d6714b41b4931b76512d6e4b
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spelling 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)
institution DOAJ
collection DOAJ
language RU
topic interval estimation
resource consumption
source data uncertainty
forecasting
confluent analysis
Sociology (General)
HM401-1281
Economics as a science
HB71-74
spellingShingle 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
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