Comparison of two methods for computing approximated accuracies for growth traits in random regression models

被引：0
|
作者：
Sanchez, J. P. [1 ,2 ]
Misztal, I. [1 ]
Bertrand, J. K. [1 ]
机构：
[1] Univ Georgia, Athens, Greece
[2] Univ Leon, E-24071 Leon, Spain
来源：
POULTRY SCIENCE | 2007年 / 86卷
关键词：
accuracy; beef cattle; linear splines;
D O I：
暂无
中图分类号：
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号：
0905 ;
摘要：
引用
收藏
页码：375 / 376
页数：2
相关论文
共 50 条
  • [31] Integral approximations for computing optimum designs in random effects logistic regression models
    Tommasi, C.
    Rodriguez-Diaz, J. M.
    Santos-Martin, M. T.
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2014, 71 : 1208 - 1220
  • [32] Efficiency comparison of methods for estimation in longitudinal regression models
    Qu, RP
    Shao, J
    Palta, M
    [J]. STATISTICS & PROBABILITY LETTERS, 2001, 55 (02) : 125 - 135
  • [33] Random regression models for the evaluation of the growth of goats of the Anglonubian breed
    Castro, G. C.
    Campelo, J. E. G.
    Sarmento, J. L. R.
    Carvalho, M. D. F.
    Cavalcante, D. H.
    Fiqueiredo Filho, L. A. S.
    [J]. ARQUIVO BRASILEIRO DE MEDICINA VETERINARIA E ZOOTECNIA, 2020, 72 (03) : 961 - 969
  • [34] Random regression models for description of growth curve of meat quails
    Bonafe, Cristina Moreira
    Torres, Robledo de Almeida
    Rocha Sarmento, Jose Lindenberg
    da Silva, Luciano Pinheiro
    Ribeiro, Jeferson Correa
    Teixeira, Rafael Bastos
    da Silva, Felipe Gomes
    Sousa, Mariele Freitas
    [J]. REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2011, 40 (04): : 765 - 771
  • [35] Power comparison of regression methods to test quantitative traits for association and linkage
    Zhu, XF
    Elston, RC
    [J]. GENETIC EPIDEMIOLOGY, 2000, 18 (04) : 322 - 330
  • [36] Methods for the Analysis of Explanatory Linear Regression Models with Missing Data Not at Random
    José Blas Navarro Pastor
    [J]. Quality and Quantity, 2003, 37 (4) : 363 - 376
  • [37] Methods for the analysis of explanatory linear regression models with missing data not at random
    Pastor, JBN
    [J]. QUALITY & QUANTITY, 2003, 37 (04) : 363 - 376
  • [38] Comparison of Two Penalized Regression Methods for Signal Detection
    Rottenkolber, Marietta
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2010, 19 : S76 - S76
  • [39] Comparison of methods computing the distance between two ellipsoids
    Girault, Ivan
    Chadil, Mohamed-Amine
    Vincent, Stephane
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 458
  • [40] Comparison of random regression models with legendre polynomials and linear splines for production traits and somatic cell score of Canadian Holstein cows
    Bohmanova, J.
    Miglior, F.
    Jamrozik, J.
    Misztal, I.
    Sullivan, P. G.
    [J]. JOURNAL OF DAIRY SCIENCE, 2008, 91 (09) : 3627 - 3638
12345