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  • Search: subject:"Multiple covariates"
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Subject
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Multiple covariates 2 Confidence interval 1 D-optimality 1 Equivalence theorem 1 Estimation theory 1 Locally optimal design 1 Orthogonal arrays 1 Regression analysis 1 Regressionsanalyse 1 Sample size 1 Schätztheorie 1 generalized method of moments 1 longitudinal data 1 measurement error 1 multiple covariates 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1
Author
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Liu, Xiaofeng 1 Palta, Mari 1 Shao, Jun 1 Stufken, John 1 Wang, Zhongshen 1 Xiao, Zhiguo 1
Published in...
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Journal of Applied Statistics 1 Journal of quantitative economics 1 Statistical Methods and Applications 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Locally D-optimal designs for binary responses and multiple continuous design variables
Wang, Zhongshen; Stufken, John - In: Journal of quantitative economics 20 (2022), pp. 101-113
Persistent link: https://www.econbiz.de/10013441608
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Sample size determination for the confidence interval of mean comparison adjusted by multiple covariates
Liu, Xiaofeng - In: Statistical Methods and Applications 22 (2013) 2, pp. 155-166
The current method of determining sample size for confidence intervals does not accommodate multiple covariate adjustment. Under the normality assumption, the effect of multiple covariate adjustment on the standard error of the mean comparison is related to a Hotelling T <Superscript>2</Superscript> statistic. Sample size...</superscript>
Persistent link: https://www.econbiz.de/10010998695
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GMM in linear regression for longitudinal data with multiple covariates measured with error
Xiao, Zhiguo; Shao, Jun; Palta, Mari - In: Journal of Applied Statistics 37 (2010) 5, pp. 791-805
Griliches and Hausman 5 and Wansbeek 11 proposed using the generalized method of moments (GMM) to obtain consistent estimators in linear regression models for longitudinal data with measurement error in one covariate, without requiring additional validation or replicate data. For usefulness of...
Persistent link: https://www.econbiz.de/10008674924
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