Parameter estimation of factors affecting milk yield in a multicollinearity by Bayesian Regression method

Aycan Mutlu YAĞANOĞLU

doi:https://doi.org/10.29329/JofBS.2021.348.05

Original article | Journal of Biometry Studies 2021, Vol. 1(1) 23-25

Parameter estimation of factors affecting milk yield in a multicollinearity by Bayesian Regression method

Aycan Mutlu YAĞANOĞLU

pp. 23 - 25 | DOI: https://doi.org/10.29329/JofBS.2021.348.05 | Manu. Number: MANU-2106-15-0011.R1

Published online: June 29, 2021 | Number of Views: 69 | Number of Download: 472

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Abstract

The regression analysis determines the relationship model between dependent and independent variables. In this study, the body weight, milking time, milk yield and environmental factors obtained from 42 dairy cattle were used for internal and external temperatures. In this study, the Bayesian Regression method was used to estimate milk yield parameters in case of multicollinearity. According to the results, it was seen that Bayesian method can be applied successfully in the field of animal husbandry. It is thought that the use of this study for dairy cattle in other agricultural areas will be useful for better evaluation of the data obtained.

Keywords: Bayesian regression, Multicollinearity, Milk yield

How to Cite this Article?

APA 6th edition
YAGANOGLU, A.M. (2021). Parameter estimation of factors affecting milk yield in a multicollinearity by Bayesian Regression method . Journal of Biometry Studies, 1(1), 23-25. doi: 10.29329/JofBS.2021.348.05

Harvard
YAGANOGLU, A. (2021). Parameter estimation of factors affecting milk yield in a multicollinearity by Bayesian Regression method . Journal of Biometry Studies, 1(1), pp. 23-25.

Chicago 16th edition
YAGANOGLU, Aycan Mutlu (2021). "Parameter estimation of factors affecting milk yield in a multicollinearity by Bayesian Regression method ". Journal of Biometry Studies 1 (1):23-25. doi:10.29329/JofBS.2021.348.05.

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