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inconsistent. The bias arises in settings with many regressors because the normalized OLS design matrix remains asymptotically … random and correlates with the regression error when only weak (but not strict) exogeneity holds. This bias' magnitude … increases with the number of regressors and their average autocorrelation. We propose an innovative approach to bias correction …
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average. The estimator assumes the population to be homogeneous and skewed. The properties (i.e. the Bias and the Mean Squared …
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study variable, by incorporating two auxiliary variables in twophase (double) sampling. The bias and the mean square error …
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In this paper, a new improved calibration estimator for the population mean in a stratified sampling was proposed using two auxiliary variables. A simulation study was carried out to evaluate the performance and efficiency of the proposed estimator with respect to three estimators considered in...
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exponential estimators using different parameters of an auxiliary character based on sub-sampling non-respondents. The bias and …
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