INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA
https://doi.org/10.26425/1816-4277-2018-12-64-70
Abstract
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.
About the Authors
Y. Gagarin
Московский государственный технический университет имени Н. Э. Баумана
Russian Federation
Russian Federation
S. Gagarina
Калужский государственный университет имени К. Э. Циолковского
Russian Federation
Russian Federation
References
1. Gagarina S. N., Gagarin Yu. E. Interval’noe prognozirovanie ob”emov sprosa na uslugi sub”ektov estestvennykh monopolii s uchetom neopredelennosti informatsii [Interval forecasting of demand for services of natural monopolies subject to the uncertainty of information], Vestnik universiteta (Gosudarstvennyi universitet upravleniya), 2013, I. 22, pp. 101–110.
2. Gagarina S. N., Gagarin Yu. E., Gostyukhina E. K., Zotov D. V., Yatskevich N. A. Mnogofaktornoe modelirovanie ob”emov potrebleniya resursov s uchetom neopredelennosti kak faktor povysheniya energeticheskoi effektivnosti v zhilishchno-kommunal’noi sfere [Multifactor modeling of resource consumption with account of uncertainty as a factor in increasing energy efficiency in the housing and utilities sector], Trudy regional’nogo konkursa nauchnykh proektov, I. 1, Kaluga: Kaluzhskii gosudarstvennyi institut razvitiya obrazovaniya, 2018, pp. 108–113.
3. Greshilov A. A. Matematicheskie metody prinyatiya reshenii: Ucheb. posobie dlya vuzov [Mathematical decision making methods], M.: Izd-vo MGTU im. N. E. Baumana, 2006, p. 584.
4. Kendall M., St’yuart A. Statisticheskie vyvody i svyazi [Statistical findings and links], M.: Nauka, 1973, p. 900.
5. Fuller W. A. Measurement error models, New York ect.: Wiley, 1987, p. 440.
Review
For citations:
Gagarin Y., Gagarina S. INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA. Vestnik Universiteta. 2018;(12):64-70. (In Russ.) https://doi.org/10.26425/1816-4277-2018-12-64-70
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