PARAMETER ESTIMATION OF FACTORS AFFECTING MILK YIELD IN A MULTIPLE COLLINEARITY BY BAYESIAN REGRESSION METHODS
Özet
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 61 dairy cattle were used for internal and
external temperatures. In this study, Bayes Regression method was used to
estimate milk yield parameters in case of multiple connections. According to
the results, it was seen that Bayes 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.<o:p></o:p>
Atıf için künye
Yağanoğlu, A. M. (2020). PARAMETER ESTIMATION OF FACTORS AFFECTING MILK YIELD IN A MULTIPLE COLLINEARITY BY BAYESIAN REGRESSION METHODS. IV. International Congress on Domestic Animal Breeding, Genetics and Husbandry-2020, Samsun (ss. 99–101).
BibTeX
@inproceedings{yaganoglu2020-262264,
author = {Yağanoğlu, Aycan Mutlu},
title = {PARAMETER ESTIMATION OF FACTORS AFFECTING MILK YIELD IN A MULTIPLE COLLINEARITY BY BAYESIAN REGRESSION METHODS},
booktitle = {IV. International Congress on Domestic Animal Breeding, Genetics and Husbandry-2020},
address = {Samsun},
year = {2020},
pages = {99--101},
url = {https://akademik.atauni.edu.tr/yayinlar/262264-parameter-estimation-of-factors-affecting-milk-yield-in-a-multiple-collinearity}
}