MATHEMATICAL MODELING IN AGRICULTURE BASICS

dc.contributor.author	Bustonova Gulchekhra Berkinboуеvna
dc.date.accessioned	2025-12-29T12:12:10Z
dc.date.issued	2025-05-29
dc.description.abstract	This article discusses the preliminary assessment of agricultural productivity indicators. mathematician regression the role of models, methods of their construction and practical application the application of linear and nonlinear regression models is analyzed. In particular, the mathematical foundations of linear and nonlinear regression models and their importance in drawing statistical conclusions are illustrated through examples. A visual evaluation of the model is also shown through graphical representations.
dc.format	application/pdf
dc.identifier.uri	https://westerneuropeanstudies.com/index.php/1/article/view/2535
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/18475
dc.language.iso	eng
dc.publisher	Western European Studies
dc.relation	https://westerneuropeanstudies.com/index.php/1/article/view/2535/1755
dc.rights	Copyright (c) 2025 Western European Journal of Modern Experiments and Scientific Methods
dc.rights	https://creativecommons.org/licenses/by-nc/4.0
dc.source	Western European Journal of Modern Experiments and Scientific Methods; Vol. 3 No. 05 (2025): WEJMESM; 74-79
dc.source	2942-1896
dc.subject	regression model
dc.subject	prediction
dc.subject	productivity
dc.title	MATHEMATICAL MODELING IN AGRICULTURE BASICS
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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