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Estimating causal effects of rare treatments on binary outcomes: addressing sample size requirements and bias correction. [PDF]
Sanim AI, Rahman MS, Latif MAHM.
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Allelic association analyses: estimation recommendations. [PDF]
Weir BS, Goudet J.
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Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning. [PDF]
Modi M +7 more
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Machine learning based variance estimation under two phase sampling using health and education sector data. [PDF]
Al-Marzouki S +5 more
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Identification and quantification of irreversibility in stochastic systems.
Ghosal A, Bisker G.
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A hybrid estimator for selectivity estimation
IEEE Transactions on Knowledge and Data Engineering, 1999Traditional sampling-based estimators infer the actual selectivity of a query based purely on runtime information gathering, excluding the previously collected information, which underutilizes the information available. Table-based and parametric estimators extrapolate the actual selectivity of a query based only on the previously collected information,
Yibei Ling +3 more
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Estimation of Variance of the Ratio Estimator
Biometrika, 1982SUMMARY A general class of estimators of the variance of the ratio estimator is considered, which includes two standard estimators vo and v2 and approximates another estimator VH suggested by Royall & Eberhardt (1975). Asymptotic expansions for the variances and biases of the proposed estimators are obtained.
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On the Estimation of Contrasts in Linear Estimation
Calcutta Statistical Association Bulletin, 1973This paper examines the conditions on the coefficient matrix of the linear model under which contrasts, and contrasts alone, are estimated by contrasts.
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