Results 211 to 220 of about 89,691 (255)

Digital Registrar: A Schema-First Framework for Multi-Cancer Privacy-Preserving Pathology Abstraction via Local LLMs. [PDF]

Diagnostics (Basel)
Chow NH, Chang H, Chen HK, Lin CY, Liu YL, Tseng PY, Shiu LJ, Chu YW, Chung PC, Chang KP.   +9 more
europepmc   +1 more source

Wave spectrum Reconstruction Parameters for nested wave modeling in the China-adjacent seas from 2000 to 2024. [PDF]

Sci Data
Jiang X, Yang Y, Yin X, Zha Y.
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

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Asymptotics for EBLUPs: Nested Error Regression Models

Journal of the American Statistical Association, 2021
In 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, 2013
ABSTRACTThis 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, 2014
We 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

2020
This 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, María Dolores Esteban, Agustín Pérez, Tomáš Hobza   +3 more
openaire   +1 more source

A nested error regression model with high-dimensional parameter for small area estimation

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023
Abstract In this paper, we propose a flexible nested error regression small area model with high-dimensional parameter that incorporates heterogeneity in regression coefficients and variance components. We develop a new robust small area-specific estimating equations method that allows appropriate pooling of a large number of areas in ...
Nicola Salvati, Partha Lahiri, Salvati Nicola   +2 more
exaly   +4 more sources