The need for comparing two regression functions arises frequently in statistical applications. Comparison of the usual regression functions is not very meaningful in situations where the distributions and the ranges of the covariates are different for the populations. For instance, in...

In this dissertation we investigate bootstrap and likelihood based methods for constructing confidence intervals in some non-standard problems. The non-standard problems studied include problems with non root-n convergence (e.g., cube-root convergence), estimation problems where the parameter is...

We introduce a method based on a pseudolikelihood ratio for estimating the distribution function of the survival time in a mixed-case interval censoring model. In a mixed-case model, an individual is observed a random number of times, and at each time it is recorded whether an event has happened...