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Inference for nested error linear regression models with unequal error variances

Journal of Statistical Planning and Inference, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu, M., Rao, J. N. K.
openaire   +2 more sources

Fast and robust estimators of variance components in the nested error model

Statistics and Computing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Betsabé Pérez   +4 more
openaire   +2 more sources

Prediction in a spatial nested error components panel data model

International Journal of Forecasting, 2014
Abstract This paper derives the Best Linear Unbiased Predictor (BLUP) for a spatial nested error components panel data model. This predictor is useful for panel data applications that exhibit spatial dependence and a nested (hierarchical) structure. The predictor allows for unbalancedness in the number of observations in the nested groups.
Badi H. Baltagi
exaly   +2 more sources

A modified nested-error regression model for small area estimation

Statistics, 2013
A 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.
María Dolores Esteban, Domingo Morales
exaly   +2 more sources

Error Normality Testing in a Model of Two‐Way Nested Classification

Biometrical Journal, 1994
AbstractThe 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
openaire   +2 more sources

Transformations for Estimation of Linear Models with Nested-Error Structure

Journal of the American Statistical Association, 1973
Abstract Two linear models with error structure of the nested type are considered. Transformations are presented by which uncorrelated errors with constant variances are obtained. The transformed observations are differences between the original observations and multiples of averages of subsets of the observations.
Wayne A. Fuller, George E. Battese
openaire   +1 more source

Empirical Bayes methods in nested error regression models with skew-normal errors

Japanese Journal of Statistics and Data Science, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tsujino, Tatsuhiko, Kubokawa, Tatsuya
openaire   +2 more sources

Nesting, Crossing, Type IV Errors, and the Role of Statistical Models

American Educational Research Journal, 1978
Marascuilo and Levin’s use of the term “nesting” in previously published articles is idiosyncratic and contrary to well-established usage. Proper usage is described and illustrated. Their insistence on the usage of Scheffé tests on restricted sets of contrasts is opposed.
openaire   +1 more source

Estimation of within Model Parameters in Regression Models with a Nested Error Structure

Journal of the American Statistical Association, 1992
Abstract Restricted randomizations, similar to those in split-plot type experiments, often are adapted to assign quantitative treatment factors to experimental units. Such restrictions result in the experiment having a nested error structure. Sufficient conditions are presented under which ordinary least squares (OLS) estimates of regressor parameters ...
Govinda J. Weerakkody, Dallas E. Johnson
openaire   +1 more source

Corrected empirical Bayes confidence intervals in nested error regression models [PDF]

open access: possibleJournal of the Korean Statistical Society, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

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