The paper considers estimating a parameter "&bgr;" that defines an estimating function "U"("y", "x", "&bgr;") for an outcome variable "y" and its covariate "x" when the outcome is missing in some of the observations. We assume that, in addition to the outcome and the covariate, a surrogate outcome...

In statistical applications, we often encounter a situation where a substantial number of observations takes zero value and at the same time the non-zero observations are highly skewed. We propose empirical likelihood-based non-parametric confidence intervals for the mean parameter which have...