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Archives Animal Breeding Archiv Tierzucht
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This study was conducted to estimate the live weight of Hair goats from biometric measurements and to select variables in order to reduce the model complexity by using penalised regression methods, LASSO and Adaptive LASSO, for γ = 0.5 and γ = 1. It was concluded that Adaptive LASSO (γ = 1) estimated the live weight with the highest accuracy for both male and female Hair goats when all the criteria were considered.
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AAB | Articles | Volume 61, issue 4
AAB | Articles | Volume 61, issue 4
Arch. Anim. Breed., 61, 451–458, 2018
https://doi.org/10.5194/aab-61-451-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Arch. Anim. Breed., 61, 451–458, 2018
https://doi.org/10.5194/aab-61-451-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
AAB | Articles | Volume 61, issue 4

Original study 19 Nov 2018

Original study | 19 Nov 2018

The prediction of live weight of hair goats through penalized regression methods: LASSO and adaptive LASSO

Suna Akkol

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Short summary
This study was conducted to estimate the live weight of Hair goats from biometric measurements and to select variables in order to reduce the model complexity by using penalised regression methods, LASSO and Adaptive LASSO, for γ = 0.5 and γ = 1. It was concluded that Adaptive LASSO (γ = 1) estimated the live weight with the highest accuracy for both male and female Hair goats when all the criteria were considered.
Read more
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Archives Animal Breeding

Archiv Tierzucht

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