Your English writing platform
Discover LudwigSuggestions(2)
Exact(2)
We first ran a combined data analysis by a linear mixed model approach for variance component estimation and a jackknife approach for statistical test.
The objectives of this study are to evaluate the utility of the factor analytic approach for variance component estimation for MACE and to assess the impact of alternative parameterizations, both PC and FA, for practical prediction of breeding values with MACE.
Similar(58)
The random regression representation of MACE facilitates exploitation of principal component or factor analytic approaches for variance component estimation and prediction of breeding values for international sire evaluations.
We therefore use influence-based methods, a common approach for linearized variance estimation of survey statistics [ 18], to derive variances for the lexpit model's risk estimates.
Approach for calculating variance within lines derived and wrote by JAW in the appendix.
In the Additional file 1 we summarize the optimization algorithm and the influence approach for obtaining variance estimates for the lexpit model parameters.
The two commonly used approaches for producing variance estimates for estimated regression coefficients are, the analytical technique [ 9, 10] and a replication approach [ 9, 11].
J. Official Statist. 10 (2), 153 165], and Singh [Singh, S., 2001. Generalized calibration approach for estimating the variance in survey sampling. Ann. Inst. Statist. Math. 53 (2), 404 417; Singh, S., 2004. Golden and Silver Jubilee Year-2003 of the linear regression estimators. In: Proceedings of the Joint Statistical Meeting, Toronto (Available on the CD), 4382-4380; S.ngh, S., 2006.
For the (co variance estimates, the sigma-point approach consistently outperforms linearization approach for increasing parameter variance level.
Faraway [ 15] and Samuh, et al. [ 16] applied the parametric bootstrap approach for testing the variance component.
The third approach that is considered for variance component estimation for MACE is the direct factor analytic approach that will be presented in an upcoming paper.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com