The task of prognostication main indicators of air company

D. Y. Potapova
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Abstract

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.
预测航空公司主要指标的任务
提高航空公司在航空运输市场的运作效率的问题被考虑。已经开发了一个统计和数学模型,使我们能够对航空公司活动的主要指标做出预测。该模型是一个随机变量的分布,其分布密度由高斯定律描述。给出了相关系数值对预测精度的影响,平均二次值对预测值数学期望值的影响。给定的模型可以提高航空公司工作指标预测的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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