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ADAPTIVE PROCEDURES IN ANALYSIS OF VARIANCE
all-cases imputation variance estimator: A new approach to variance estimation for imputed data
asymptotic behaviour of linear regression M-estimators for censored data
Bayesian Approach for Sample Selection Bias Correction in Regression
Bayesian sequential inference for error rates and error amounts in accounting data
BOOTSTRAP METHODS FOR FINITE POPULATION SAMPLING
Characterizing and approximating scale mixtures
A DATA ANALYTIC TOOL FOR MEASURING COMPOSITIONAL VARIABILITY

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