INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA

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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Bibliographic Details
Main Authors: Y. Gagarin, S. Gagarina
Format: Article
Language:Russian
Published: Publishing House of the State University of Management 2018-12-01
Series:Вестник университета
Subjects:
interval estimation
resource consumption
source data uncertainty
forecasting
confluent analysis
Online Access:https://vestnik.guu.ru/jour/article/view/1227
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spelling doaj-750b5f26d6714b41b4931b76512d6e4b2021-10-02T06:22:37ZrusPublishing House of the State University of ManagementВестник университета1816-42772686-84152018-12-01012647010.26425/1816-4277-2018-12-64-701227INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATAY. Gagarin0S. Gagarina1Московский государственный технический университет имени Н. Э. БауманаКалужский государственный университет имени К. Э. ЦиолковскогоThe 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.https://vestnik.guu.ru/jour/article/view/1227interval estimationresource consumptionsource data uncertaintyforecastingconfluent analysis
collection DOAJ
language Russian
format Article
sources DOAJ
author Y. Gagarin
S. Gagarina
spellingShingle Y. Gagarin
S. Gagarina
INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA
Вестник университета
interval estimation
resource consumption
source data uncertainty
forecasting
confluent analysis
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
series Вестник университета
issn 1816-4277
2686-8415
publishDate 2018-12-01
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.
topic interval estimation
resource consumption
source data uncertainty
forecasting
confluent analysis
url https://vestnik.guu.ru/jour/article/view/1227
work_keys_str_mv AT ygagarin intervalestimationofthevolumesofresourceconsumptionatthestochasticbasicdata
AT sgagarina intervalestimationofthevolumesofresourceconsumptionatthestochasticbasicdata
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