Results 111 to 120 of about 9,816 (139)
AI and Machine Learning for Proteomics-Driven Drug Discovery: Methods, Tools, and Best Practices. [PDF]
Basak S.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
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.
openaire +4 more sources
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
openaire +3 more sources
Proceedings of The International Conference on Data Science and Official Statistics, 2022
The open unemployement rate is an indicator for measuring unemployment. Banten Province recorded as the highest on open unemployment rate number in Indonesia on 2018. A high open unemployment rates indicate serious problems in society. This problem must be resolved synergistically from the national level to the level of small areas such as sub ...
Apriliansyah Apriliansyah +1 more
openaire +1 more source
The open unemployement rate is an indicator for measuring unemployment. Banten Province recorded as the highest on open unemployment rate number in Indonesia on 2018. A high open unemployment rates indicate serious problems in society. This problem must be resolved synergistically from the national level to the level of small areas such as sub ...
Apriliansyah Apriliansyah +1 more
openaire +1 more source
Bandung Conference Series: Statistics, 2022
Abstract. A research small sample will lead to errors which gets unexpected stats and precision. So as be solved by direct estimation. However, direct estimation provides insufficient accuracy resulting in large variance. But, can be overcome by estimating small area using Empirical Best Linear Unbiased Prediction (EBLUP) method by borrowing ...
Giatri Divianis, Nusar Hajarisman
openaire +1 more source
Abstract. A research small sample will lead to errors which gets unexpected stats and precision. So as be solved by direct estimation. However, direct estimation provides insufficient accuracy resulting in large variance. But, can be overcome by estimating small area using Empirical Best Linear Unbiased Prediction (EBLUP) method by borrowing ...
Giatri Divianis, Nusar Hajarisman
openaire +1 more source
Computational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. A. V. B. Swamy +3 more
openaire +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. A. V. B. Swamy +3 more
openaire +1 more source
Canadian Journal of Animal Science, 1997
The theory and use of best linear unbiased prediction in genetic evaluation are well developed. However, there has been little empirical checking of its efficacy in practice. The objective here was to use a large body of Canadian pig performance records to check on the predicted benefits of BLUP in genetic evaluation.
V. M. Quinton, C. Smith
openaire +1 more source
The theory and use of best linear unbiased prediction in genetic evaluation are well developed. However, there has been little empirical checking of its efficacy in practice. The objective here was to use a large body of Canadian pig performance records to check on the predicted benefits of BLUP in genetic evaluation.
V. M. Quinton, C. Smith
openaire +1 more source
Bandung Conference Series: Statistics, 2022
Abstract. The SAE (Small Area Estimation) method is widely used and used by many parties, one of which is BPS (Central Statistics Agency) some examples of data presentation expenditures such as poverty/social development/economic development, one of which is Per Capita Expenditure.
Akmal Hafis Hakim, Nusar Hajarisman
openaire +1 more source
Abstract. The SAE (Small Area Estimation) method is widely used and used by many parties, one of which is BPS (Central Statistics Agency) some examples of data presentation expenditures such as poverty/social development/economic development, one of which is Per Capita Expenditure.
Akmal Hafis Hakim, Nusar Hajarisman
openaire +1 more source
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
openaire +1 more source
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 +1 more source
Empirical Best Linear Unbiased Prediction of Computer Simulator Output
2018This chapter and Chap. 4 discuss techniques for predicting output for a computer simulator based on “training” runs from the model. Knowing how to predict computer output is a prerequisite for answering most practical research questions that involve computer simulators including those listed in Sect. 1.3.
Thomas J. Santner +2 more
openaire +1 more source

