Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 48, No. 4 (1999), pp. 507-516 (10 pages) We show how to use computer algebra for computing exact distributions of ...

Course TopicsThis short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their ...

In this paper we construct a statistic to test a specific form of the conditional density function. The main point of this work is to consider a functional explanatory variable, and the statistic is ...

We will give examples of how to implement these methods in R. Additionally, we will examine the concept of nonparametric bootstrap sampling, and how this can be a useful tool in many situations.

Nonparametric estimation and U-statistics have emerged as vital tools in modern statistical analysis, offering robust alternatives to traditional parametric methods.