FORECAST AGRICULTURAL CROP YIELDS USING DYNAMIC SERIES

dc.contributor.author	Ishniyazov Baxrom Normamatovich
dc.date.accessioned	2025-12-29T18:16:24Z
dc.date.issued	2024-08-31
dc.description.abstract	In this article, when teaching students the topic of predicting yields using dynamic series of mathematics, the support of theoretical data directly on the solution of Agricultural Issues is studied using pedagogical experiments, which leads students to better master science, strengthen their professional training.
dc.format	application/pdf
dc.identifier.uri	https://webofjournals.com/index.php/4/article/view/1729
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/25235
dc.language.iso	eng
dc.publisher	Web of Journals Publishing
dc.relation	https://webofjournals.com/index.php/4/article/view/1729/1709
dc.rights	https://creativecommons.org/licenses/by-nc-nd/4.0
dc.source	Web of Technology: Multidimensional Research Journal; Vol. 2 No. 8 (2024): WOT; 15-18
dc.source	2938-3757
dc.subject	experiment, soil fertility, yield, random factors, timed(dynamic) series, statistical analysis, statistical hypotheses, random process, trend, autocorrelation coefficient, interval statistical assessment, linear linkage, least squares method, correlation linkage.
dc.title	FORECAST AGRICULTURAL CROP YIELDS USING DYNAMIC SERIES
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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