Results 11 to 20 of about 415,967 (312)
Background The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals.
Fikse Freddy +4 more
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Combining auxiliary variables and field inventory data of forest parameters using the model-based approach is frequently used to produce synthetic estimates for small areas.
Dylan Walshe +3 more
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Single Imputation Methods and Confidence Intervals for the Gini Index
The problem of missing data is a common feature in any study, and a single imputation method is often applied to deal with this problem. The first contribution of this paper is to analyse the empirical performance of some traditional single imputation ...
Encarnación Álvarez-Verdejo +2 more
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Methods of variance component estimation
Estimation of variance components is a method often used in population genetics and applied in animal breeding. Even experienced population geneticists nowadays feel lost if confronted with the huge set of different methods of variance component ...
D. Rasch, O. Mašata
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In response to the lack of specific demonstration and analysis of the research on the necessity of the Lie group strapdown inertial integrated navigation error model based on the Euler angle, two common integrated navigation systems, strapdown inertial ...
Leiyuan Qian +3 more
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Asymptotic variances of subspace estimates [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CHIUSO, ALESSANDRO, PICCI, GIORGIO
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Variance Estimation Using Randomized Response Technique
Variance estimation is a well-studied topic in survey sampling but not much work has been done in this area in the context of Randomized Response Technique (RRT) models.
Sat Gupta +2 more
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Calibration weighting improves inference by adjusting for observed differences between the realized sample and the population. Unfortunately, a commonly-used linearization-based variance estimator often does not account for the increased efficiency ...
Bonnie E Shook-Sa +7 more
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Estimation of Error Variance in Regularized Regression Models via Adaptive Lasso
Estimation of error variance in a regression model is a fundamental problem in statistical modeling and inference. In high-dimensional linear models, variance estimation is a difficult problem, due to the issue of model selection.
Xin Wang, Lingchen Kong, Liqun Wang
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Design-Based Approach for Analysing Survey Data in Veterinary Research
Sample surveys are an essential approach used in veterinary research and investigation. A sample obtained from a well-designed sampling process along with robust data analysis can provide valuable insight into the attributes of the target population. Two
D. Aaron Yang, Richard A. Laven
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