Estimation of main carcass components by using bootstrapping regression method
Yükleniyor...
Tarih
2003
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Kielanowski Inst Animal Physiology Nutrition
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Bootstrap resampling methods have emerged as powerful tools for constructing inferential procedures in modern statistical data analysis. This article suggests an algoritm for building a regression model by bootstrap resampling method practically and gives parameter estimates of the model used for estimating main carcass components for Awassi lambs. Special attention is given to the estimation of regression parameters, their standard errors and confidence intervals using by bootstraping regression method, and comparing results with ordinary least squares estimates. As result, so bootstrap regression method generally smaller standard errors and confidence intervals than ordinary least squares regression that the models MC (carcass muscle) = 214.198 + 3.808 MLL (muscle in long leg) + 4.866 MN (muscle in neck), BC (bone in carcass) = 605.904 + 3.641 BLL (bone in long leg) + 3.634 BN (bone in neck) and FC (fat in carcass) = -6283 + 716.8 CW (carcass weight) from bootstrapping regression method for estimation amount of muscle, bone and fat in carcass of fat tail Awassi lambs are more suitable than models from ordinary least squares method respectively.
Açıklama
Anahtar Kelimeler
carcass components, Awassi lambs, resampling, bootstrap, regression
Kaynak
Journal of Animal and Feed Sciences
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
12
Sayı
4
