Presents descriptive statistics, sophisticated counting techniques and other components of probability, simple random variables and their distribution, bivariate functions, sampling theory properties ...

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

We consider estimation in a particular semiparametric regression model for the mean of a counting process with "panel count" data. The basic model assumption is that ...

In recent years wavelet-based methods have been proposed to estimate density and regression functions, most often in settings with independent and identically distributed observations. An attractive ...