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...

Full description

Saved in:
Bibliographic Details
Main Authors: Yu. Gagarin, S. Gagarina
Format: Article
Language:English
Published: Publishing House of the State University of Management 2019-03-01
Series:Вестник университета
Subjects:
Online Access:https://vestnik.guu.ru/jour/article/view/1259
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1816-4277
2686-8415