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  • Search: subject:"nested error regression model"
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Year of publication
Subject
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nested error regression model 3 small area estimation 3 Nested error regression model 2 empirical best predictor 2 grouped data 2 Bayes risk 1 Best linear unbiased predictor 1 Bootstrap method 1 Confidence interval 1 Design consistency 1 Empirical Bayes procedure 1 Estimation 1 Estimation theory 1 Fay–Herriot model 1 Forecasting model 1 Linear mixed model 1 Maximum likelihood estimator 1 Mean squared error 1 Mean squared prediction error 1 Measurement error 1 Parametric bootstrap 1 Prognoseverfahren 1 Regression analysis 1 Regressionsanalyse 1 Restricted maximum likelihood estimator 1 Schätztheorie 1 Schätzung 1 Second-order correction 1 Small area estimation 1 Statistical error 1 Statistical method 1 Statistische Methode 1 Statistischer Fehler 1 data confidentiality 1 interval‐censored data 1 survey response burden 1
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Online availability
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Free 3 Undetermined 2
Type of publication
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Article 3 Book / Working Paper 2
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3 Undetermined 2
Author
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Schmid, Timo 3 Tzavidis, Nikos 3 Walter, Paul 3 Groß, Markus 2 Groß, Marcus 1 Kubokawa, Tatsuya 1 Nagashima, Bui 1 Torabi, Mahmoud 1
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Published in...
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Journal of Multivariate Analysis 2 Discussion paper 1 Diskussionsbeiträge 1 Journal of the Royal Statistical Society: Series A (Statistics in Society) 1
Source
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EconStor 2 RePEc 2 ECONIS (ZBW) 1
Showing 1 - 5 of 5
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Domain prediction with grouped income data
Walter, Paul; Groß, Marcus; Schmid, Timo; Tzavidis, Nikos - In: Journal of the Royal Statistical Society: Series A … 184 (2021) 4, pp. 1501-1523
predictor under the unit‐level nested error regression model with a continuous dependent variable. However, parameter estimation … response burden. The work in this paper proposes methodology that enables fitting a nested error regression model when the …
Persistent link: https://www.econbiz.de/10014485795
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Estimation of linear and non-linear indicators using interval censored income data
Walter, Paul; Groß, Markus; Schmid, Timo; Tzavidis, Nikos - 2017
possible, when the dependent variable of the underlying nested error regression model, is censored to specific intervals. This … of the regression parameters of the nested error regression model using interval censored data. The introduced method is …
Persistent link: https://www.econbiz.de/10011704301
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Estimation of linear and non-linear indicators using interval censored income data
Walter, Paul; Groß, Markus; Schmid, Timo; Tzavidis, Nikos - 2017
possible, when the dependent variable of the underlying nested error regression model, is censored to specific intervals. This … of the regression parameters of the nested error regression model using interval censored data. The introduced method is …
Persistent link: https://www.econbiz.de/10011703587
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Parametric bootstrap methods for bias correction in linear mixed models
Kubokawa, Tatsuya; Nagashima, Bui - In: Journal of Multivariate Analysis 106 (2012) C, pp. 1-16
The empirical best linear unbiased predictor (EBLUP) in the linear mixed model (LMM) is useful for the small area estimation, and the estimation of the mean squared error (MSE) of EBLUP is important as a measure of uncertainty of EBLUP. To obtain a second-order unbiased estimator of the MSE, the...
Persistent link: https://www.econbiz.de/10010576499
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Small area estimation using survey weights under a nested error linear regression model with structural measurement error
Torabi, Mahmoud - In: Journal of Multivariate Analysis 109 (2012) C, pp. 52-60
Previously, the nested error linear regression models using survey weights have been studied in small area estimation to obtain efficient model-based and design-consistent estimators of small area means. In particular, the pseudo-empirical Bayes (PEB) using survey weights has received a lot of...
Persistent link: https://www.econbiz.de/10010572295
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