Results 211 to 220 of about 89,814 (256)
Robust Bayesian multilevel meta-analysis: Adjusting for publication bias in the presence of dependent effect sizes. [PDF]
Behav Res MethodsBartoš F, Maier M, Wagenmakers EJ.
europepmc +1 more source
Wave spectrum Reconstruction Parameters for nested wave modeling in the China-adjacent seas from 2000 to 2024. [PDF]
Sci DataJiang X, Yang Y, Yin X, Zha Y.
europepmc +1 more source
Deposition Volume Compensation for Enhanced Shape Fidelity in Nested Printing. [PDF]
J Manuf Sci EngChen Y +5 more
europepmc +1 more source
Development of a nested coastal circulation model: Boundary error reduction
Environmental Modelling and Software, 2014 Journal ...
Michael Hartnett, S Nash
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Asymptotics for EBLUPs: Nested Error Regression Models
Journal of the American Statistical Association, 2021In this paper we derive the asymptotic distribution of estimated best linear unbiased predictors (EBLUPs) of the random effects in a nested error regression model. Under very mild conditions which do not require the assumption of normality, we show that asymptotically the distribution of the EBLUPs as both the number of clusters and the cluster sizes ...
Ziyang Lyu, A.H. Welsh
openaire +3 more sources
Prediction in an Unbalanced Nested Error Components Panel Data Model
Journal of Forecasting, 2013ABSTRACTThis paper derives the best linear unbiased predictor for an unbalanced nested error components panel data model. This predictor is useful in many econometric applications that are usually based on unbalanced panel data and have a nested (hierarchical) structure.
Badi Baltagi
exaly +2 more sources
Calibrating Nested Sensor Arrays With Model Errors
IEEE Transactions on Antennas and Propagation, 2014We consider the problem of direction of arrival (DOA) estimation based on a nonuniform linear nested array, which is known to provide $O(N^2)$ degrees of freedom (DOFs) using only $N$ sensors. Both subspace-based and sparsity-based algorithms require certain modeling assumptions, e.g., exactly known array geometry, including sensor gain and ...
Keyong Han, Peng Yang 0006, Arye Nehorai
openaire +1 more source
Nested Error Regression Models
2020This chapter deals with the estimation of the regression and variance components’ parameters of the nested error regression model. It describes three fitting methods for calculating maximum likelihood, residual maximum likelihood, and method of moments estimators.
Domingo Morales +3 more
openaire +1 more source