This paper is from Session 4B: Less parametric methods in statistics

which comes under Topic 4: Statistics education at the post secondary (tertiary) level

Other papers under session 4B ... 4B1: The use of statistical software to teach nonparametric curve... 4B2: On teaching bootstrap confidence intervals

(Monday 12th, 16:30-18:00)

Exploring data with non- and semiparametric models

Presenter

• Marlene Müller (Beuth University of Applied Sciences, Germany)

Abstract

Today the use of exploratory and graphical techniques to analyze data is practically standard. With R (www.R-project.org) the appropriate software tools are available to everyone. We address in particular kernel density estimation and non- and semiparametric kernel regression techniques as methods that at one hand can help to explore data and on the other hand may assist in finding appropriate parametric models for fitting data. We discuss how to introduce the these methods in class and shows some examples using R.

Other papers under session 4B ... 4B1: The use of statistical software to teach nonparametric curve... 4B2: On teaching bootstrap confidence intervals