Data/hora: 13/06/2024 04:00:59

Provedor de dados: | Agricultural Engineering International : The CIGR e-journal
País: | China
Título: | Mathematical models of geometric sizes of coffee beans as dependent random variables
Autores: | Sheremeta, Roman; Kuzminskyj, Roman.
Data: | 2019-01-25
Ano: | 2019
Palavras-chave: | Coffee beans; Geometric parameters; Mathematical models; Distribution function.
Resumo: | Dimensions of 100 randomly selected coffee beans of the Arabica and Robusta variety were determined by measuring their length (l), width (b) and thickness (h). The results of the measurements were processed by the methods of mathematical statistics. Parameters of distributions of separate sizes as random variables are determined. By the value of the coefficient of variation, the density function of normal distribution (Gaussian distribution) is taken as a model of separate sizes of beans. Models of two-dimensional distributions of beans sizes as independent random variables are presented. The coefficients of correlation between the geometric sizes of beans are calculated. The obtained values of the correlation coefficients indicate that the geometric sizes of beans should be considered as dependent random variables. The mathematical models of geometric sizes of beans as dependent random variables as density functions of their normal distribution are proposed. By values of the sums of squared deviations as a fitting criterion it has been established that the mathematical models of geometric sizes of beans as dependent random variables in the form of density functions of their normal distribution provide better data approximation than the mathematical models of geometric sizes of beans as independent random variables.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.cigrjournal.org/index.php/Ejounral/article/view/5018
Editor: | International Commission of Agricultural and Biosystems Engineering

Relação:

http://www.cigrjournal.org/index.php/Ejounral/article/view/5018/2897

http://www.cigrjournal.org/index.php/Ejounral/article/downloadSuppFile/5018/2244

Formato: | application/pdf

Fonte:

Agricultural Engineering International: CIGR Journal; Vol 20, No 4 (2018): CIGR Journal; 178-183

1682-1130

Fonte: | Copyright (c) 2019 Agricultural Engineering International: CIGR Journal