Results 231 to 240 of about 10,032,701 (265)
Improving hybrid breeding efficiency in winter oilseed rape under sparse multi-environment testing. [PDF]
Theor Appl GenetThomsen LE +6 more
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Development and Evaluation of a Urinary Na/K Ratio Prediction Model: A Systematic Comparison from Attention-Based Deep Learning to Classical Ensemble Approaches. [PDF]
Bioengineering (Basel)Yuda E, Kaneko I, Hirahara D.
europepmc +1 more source
Empirical Best Linear Unbiased Prediction for Out of Sample Areas [PDF]
, 2005 Models for small area estimation based on a random effects specification typically assume population units in different areas are uncorrelated. However, they can be extended to account for the correlation between areas by assuming that area random effects are spatially correlated. In this paper we suggest a simple variance-covariance structure for such
Saei, Ayoub, Chambers, Ray
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Canadian Journal of Statistics, 2002
AbstractThe authors develop a small area estimation method using a nested error linear regression model and survey weights. In particular, they propose a pseudo‐empirical best linear unbiased prediction (pseudo‐EBLUP) estimator to estimate small area means.
You, Yong, Rao, J. N. K.
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AbstractThe authors develop a small area estimation method using a nested error linear regression model and survey weights. In particular, they propose a pseudo‐empirical best linear unbiased prediction (pseudo‐EBLUP) estimator to estimate small area means.
You, Yong, Rao, J. N. K.
openaire +4 more sources
Empirical best linear unbiased and empirical Bayes prediction in multivariate small area estimation
Journal of Statistical Planning and Inference, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Datta, Gauri Sankar +2 more
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Bandung Conference Series: Statistics, 2022
Abstract. Poverty is a problem that is still a concern in every country until now. Poverty data needs to be available to the smallest area in order to implement targeted programs and measures to combat poverty. It is difficult to obtain information in a small area using the BPS survey design, because the sample size used is too small and the estimation
Aulia Syafira, Nusar Hajarisman
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Abstract. Poverty is a problem that is still a concern in every country until now. Poverty data needs to be available to the smallest area in order to implement targeted programs and measures to combat poverty. It is difficult to obtain information in a small area using the BPS survey design, because the sample size used is too small and the estimation
Aulia Syafira, Nusar Hajarisman
openaire +3 more sources