Multiple imputation 1 is a widely applied approach for the analysis of incomplete datasets. It involves replacing each missing cell with several plausible imputed values that are drawn from the ...
Parameter estimation is a fundamental aspect of statistical modeling, particularly for complex data structures such as bivariate distributions that capture dependencies between paired variables.
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