Bayesian forecasting of sires breeding values using autoregressive panel data model

被引：0

作者：

Silva, F. F. ^{[1
]}

Safadi, T. ^{[2
]}

Muniz, J. A. ^{[2
]}

Aquino, L. H. ^{[2
]}

Mourao, G. B. ^{[3
]}

机构：

[1] Univ Fed Vicosa, Dept Informat, BR-36570000 Vicosa, MG, Brazil

[2] Univ Fed Lavras, Dept Ciencias Exatas, Lavras, MG, Brazil

[3] ESALQ, Dept Ciencias Exatas, Piracicaba, SP, Brazil

来源：

ARQUIVO BRASILEIRO DE MEDICINA VETERINARIA E ZOOTECNIA | 2008年 / 60卷 / 05期

关键词：

Nelore cattle; time serie; MCMC method; EPD;

D O I：

10.1590/S0102-09352008000500019

中图分类号：

S85 [动物医学（兽医学）];

学科分类号：

0906 ;

摘要：

A Bayesian inference of autoregressive panel data model was applied to real data of Nelore sires Expected Progenie Difference (EPD) during a five-year period (2000-2005). The exact likelihood function and predictive distributions of future observations were considered. The results indicated the importance of sires grouping in homogeneous groups according to accuracy and showed forecast efficiency for EPD values in a future year around 80%.

引用

页码：1166 / 1173

页数：8

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