The task of prognostication main indicators of air company

The issue of improving the efficiency of the functioning of airlines in the air transportation market is considered. A statistical and mathematical model has been developed and allows us to make a prognosis of the main indicators of the airline’s activity. This model is a distribution of a rand...

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Main Author: D. Yu. Potapova
Format: Article
Language:English
Published: Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education 2021-11-01
Series:Омский научный вестник
Subjects:
Online Access:https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%E2%84%96%205%20(179)%20(%D0%9E%D0%9D%D0%92)/46-49%20%D0%9F%D0%BE%D1%82%D0%B0%D0%BF%D0%BE%D0%B2%D0%B0%20%D0%94.%20%D0%AE..pdf
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author D. Yu. Potapova
author_facet D. Yu. Potapova
author_sort D. Yu. Potapova
collection DOAJ
description The issue of improving the efficiency of the functioning of airlines in the air transportation market is considered. A statistical and mathematical model has been developed and allows us to make a prognosis of the main indicators of the airline’s activity. This model is a distribution of a random variable, which distribution density is described by the Gauss’ Law. The influence of the correlation coefficient value on the accuracy of the prognosis, the average quadratic values on the mathematical expectation of the predicted value is shown. The given model allows to increase the accuracy of the prognosis of the indicators of the airline work.
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spelling doaj-art-f0f7206f20f646d8b792b6004e32a06d2025-02-02T20:20:52ZengOmsk State Technical University, Federal State Autonoumos Educational Institution of Higher EducationОмский научный вестник1813-82252541-75412021-11-015 (179)464910.25206/1813-8225-2021-179-46-49The task of prognostication main indicators of air companyD. Yu. Potapova0Moscow State Technical University of Civil AviationThe issue of improving the efficiency of the functioning of airlines in the air transportation market is considered. A statistical and mathematical model has been developed and allows us to make a prognosis of the main indicators of the airline’s activity. This model is a distribution of a random variable, which distribution density is described by the Gauss’ Law. The influence of the correlation coefficient value on the accuracy of the prognosis, the average quadratic values on the mathematical expectation of the predicted value is shown. The given model allows to increase the accuracy of the prognosis of the indicators of the airline work.https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%E2%84%96%205%20(179)%20(%D0%9E%D0%9D%D0%92)/46-49%20%D0%9F%D0%BE%D1%82%D0%B0%D0%BF%D0%BE%D0%B2%D0%B0%20%D0%94.%20%D0%AE..pdfthe prognosis of indicatorsthe functioning of air companiesstatistical characteristicsgauss’ lawstandard deviationrandom variablethe correlation lengththe accuracy of prognosis
spellingShingle D. Yu. Potapova
The task of prognostication main indicators of air company
Омский научный вестник
the prognosis of indicators
the functioning of air companies
statistical characteristics
gauss’ law
standard deviation
random variable
the correlation length
the accuracy of prognosis
title The task of prognostication main indicators of air company
title_full The task of prognostication main indicators of air company
title_fullStr The task of prognostication main indicators of air company
title_full_unstemmed The task of prognostication main indicators of air company
title_short The task of prognostication main indicators of air company
title_sort task of prognostication main indicators of air company
topic the prognosis of indicators
the functioning of air companies
statistical characteristics
gauss’ law
standard deviation
random variable
the correlation length
the accuracy of prognosis
url https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%E2%84%96%205%20(179)%20(%D0%9E%D0%9D%D0%92)/46-49%20%D0%9F%D0%BE%D1%82%D0%B0%D0%BF%D0%BE%D0%B2%D0%B0%20%D0%94.%20%D0%AE..pdf
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