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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yu. Gagarin, S. Gagarina
Formato: article
Lenguaje:RU
Publicado: Publishing House of the State University of Management 2019
Materias:
Acceso en línea:https://doaj.org/article/cf5d254714864de7a14bb3538dca1296
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:cf5d254714864de7a14bb3538dca1296
record_format dspace
spelling 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)
institution DOAJ
collection DOAJ
language RU
topic prediction
uncertainty
parameter estimates
input data
confidence intervals
confluent analysis
Sociology (General)
HM401-1281
Economics as a science
HB71-74
spellingShingle 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 AT yugagarin thepredictionofenterprisesactivityindicatorstakingintoaccounttheinitialdatauncertainty
AT sgagarina thepredictionofenterprisesactivityindicatorstakingintoaccounttheinitialdatauncertainty
AT yugagarin predictionofenterprisesactivityindicatorstakingintoaccounttheinitialdatauncertainty
AT sgagarina predictionofenterprisesactivityindicatorstakingintoaccounttheinitialdatauncertainty
_version_ 1718373599254937600