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A modified nested-error regression model for small area estimation
Statistics, 2013A nested-error regression model having both fixed and random effects is introduced to estimate linear parameters of small areas. The model is applicable to data having a proportion of domains where the variable of interest cannot be described by a standard linear mixed model.
Maria Dolores Esteban, Domingo Morales
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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
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Prediction in heteroscedastic nested error regression models with random dispersions [PDF]
Statistica Sinica, 2016 The paper concerns small-area estimation in the heteroscedastic nested error regression (HNER) model which assumes that the within-area variances are different among areas. Although HNER is useful for analyzing data where the within-area variation changes from area to area, it is difficult to provide good estimates for the error variances because of ...
Tatsuya Kubokawa +3 more
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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
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EBPs Under Nested Error Regression Models
2020This chapter treats the problem of predicting linear combinations of components of a finite population random vector. The linear parameters have the form of weighted sums with known positive or null weights. By assuming that the population target vector follows a nested error regression model, this chapter introduces empirical best linear unbiased ...
Domingo Morales +3 more
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The unbalanced nested error component regression model
Journal of Econometrics, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baltagi, Badi H. +2 more
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Inference for nested error linear regression models with unequal error variances
Journal of Statistical Planning and Inference, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu, M., Rao, J. N. K.
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Fast and robust estimators of variance components in the nested error model
Statistics and Computing, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Betsabé Pérez +4 more
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Error Normality Testing in a Model of Two‐Way Nested Classification
Biometrical Journal, 1994AbstractThe paper deals with the construction of a normality test for the verification of the assumption about normal distribution of random errors in a fixed model of two‐way nested classification. For this purpose adequate linear transformations and orthogonal observable random vectors have been presented.
Brzeskwiniewicz, Henryk +1 more
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Empirical best prediction under a nested error model with log transformation [PDF]
Annals of Statistics, 2018 In regression models involving economic variables such as income, log transformation is typically taken to achieve approximate normality and stabilize the variance.
Isabel Molina, Nirian Martin
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