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  • Search: subject:"large samples"
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Year of publication
Subject
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big data 2 exogeneity 2 inference 2 instrumental variables 2 large samples 2 multiple regression 2 robustness 2 Big Data 1 Big data 1 Estimation theory 1 IV-Schätzung 1 Induktive Statistik 1 Instrumental variables 1 Multiple Regression 1 Multiple regression 1 Regression analysis 1 Regressionsanalyse 1 Robust statistics 1 Robustes Verfahren 1 Sampling 1 Schätztheorie 1 Sensitivity analysis 1 Sensitivitätsanalyse 1 Statistical inference 1 Stichprobenerhebung 1 asymptotic bias 1 asymptotic normality 1 communalities 1 explained common variance 1 factor analysis 1 large samples asymptotics 1 proper solutions 1 semidefinite programming 1
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Online availability
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Free 2 CC license 1 Undetermined 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 1
Author
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Ashley, Richard A. 2 Parmeter, Christopher F. 2 Berge, Jos 1 Shapiro, Alexander 1
Published in...
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Econometrics 1 Econometrics : open access journal 1 Psychometrika 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
Did you mean: subject:"large sample" (67 results)
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Sensitivity analysis of an ols multiple regression inference with respect to possible linear endogeneity in the explanatory variables, for both modest and for extremely large sampl...
Ashley, Richard A.; Parmeter, Christopher F. - In: Econometrics 8 (2020) 1, pp. 1-24
This work describes a versatile and readily-deployable sensitivity analysis of an ordinary least squares (OLS) inference with respect to possible endogeneity in the explanatory variables of the usual k-variate linear multiple regression model. This sensitivity analysis is based on a derivation...
Persistent link: https://www.econbiz.de/10012696274
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Cover Image
Sensitivity analysis of an ols multiple regression inference with respect to possible linear endogeneity in the explanatory variables, for both modest and for extremely large sampl...
Ashley, Richard A.; Parmeter, Christopher F. - In: Econometrics : open access journal 8 (2020) 1/11, pp. 1-24
This work describes a versatile and readily-deployable sensitivity analysis of an ordinary least squares (OLS) inference with respect to possible endogeneity in the explanatory variables of the usual k-variate linear multiple regression model. This sensitivity analysis is based on a derivation...
Persistent link: https://www.econbiz.de/10012265401
Saved in:
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Statistical inference of minimum rank factor analysis
Shapiro, Alexander; Berge, Jos - In: Psychometrika 67 (2002) 1, pp. 79-94
Persistent link: https://www.econbiz.de/10005757671
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