Routine applications of quantile regression analysis require reliable and practical algorithms for estimating standard errors, variance-covariance matrices, as well as confidence intervals. Because ...
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 ...
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