Statistical analysis and forecasting of cotton yield dynamics in Bukhara region

Observations on some phenomena, the nature of which changes in time, are ordered sequences, which is called the time series. In the article, by the method of statistical analysis of time series, the statistical regularity of the series of dynamics of the average yield of cotton in the Bukhara region...

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Main Authors: Vakhabov V., Fayziev A. A.
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/38/e3sconf_conmechydro23_03051.pdf
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author Vakhabov V.
Fayziev A. A.
author_facet Vakhabov V.
Fayziev A. A.
author_sort Vakhabov V.
collection DOAJ
description Observations on some phenomena, the nature of which changes in time, are ordered sequences, which is called the time series. In the article, by the method of statistical analysis of time series, the statistical regularity of the series of dynamics of the average yield of cotton in the Bukhara region, the Republic of Uzbekistan (based on the materials of the CSO of the Republic of Uzbekistan for 2001-2019) was studied. Point and interval estimates for the average cotton yield were built with a 95% guarantee, explicit types of trends were determined, and yields in the region were predicted for subsequent years. With the help of Durbin-Watson statistical criteria, it was found that the average cotton yield in the region has an autocorrelation dependence.
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spelling doaj.art-87fa57b653b740f7a81c414fff76c10d2023-07-21T09:33:57ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014010305110.1051/e3sconf/202340103051e3sconf_conmechydro23_03051Statistical analysis and forecasting of cotton yield dynamics in Bukhara regionVakhabov V.0Fayziev A. A.1“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research UniversityTashkent State Agrarian UniversityObservations on some phenomena, the nature of which changes in time, are ordered sequences, which is called the time series. In the article, by the method of statistical analysis of time series, the statistical regularity of the series of dynamics of the average yield of cotton in the Bukhara region, the Republic of Uzbekistan (based on the materials of the CSO of the Republic of Uzbekistan for 2001-2019) was studied. Point and interval estimates for the average cotton yield were built with a 95% guarantee, explicit types of trends were determined, and yields in the region were predicted for subsequent years. With the help of Durbin-Watson statistical criteria, it was found that the average cotton yield in the region has an autocorrelation dependence.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/38/e3sconf_conmechydro23_03051.pdf
spellingShingle Vakhabov V.
Fayziev A. A.
Statistical analysis and forecasting of cotton yield dynamics in Bukhara region
E3S Web of Conferences
title Statistical analysis and forecasting of cotton yield dynamics in Bukhara region
title_full Statistical analysis and forecasting of cotton yield dynamics in Bukhara region
title_fullStr Statistical analysis and forecasting of cotton yield dynamics in Bukhara region
title_full_unstemmed Statistical analysis and forecasting of cotton yield dynamics in Bukhara region
title_short Statistical analysis and forecasting of cotton yield dynamics in Bukhara region
title_sort statistical analysis and forecasting of cotton yield dynamics in bukhara region
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/38/e3sconf_conmechydro23_03051.pdf
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