Confidence intervals estimate likelihood of a data set's accuracy, aiding financial decisions. Utilizing confidence intervals in risk management helps stabilize cost forecasts. Larger sample sizes ...
A kernel regression imputation method for missing response data is developed. A class of bias-corrected empirical log-likelihood ratios for the response mean is defined. It is shown that any member of ...