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XploRe 4.0, an interactive statistical computing environment

✍ Scribed by Gilles Teyssière

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
93 KB
Volume
13
Category
Article
ISSN
0883-7252

No coin nor oath required. For personal study only.

✦ Synopsis

Non-parametric statistics are based on the principle of analysing a dataset without reference to any parametric statistical model, or `letting the data speak for themselves'. The results of a nonparametric statistical analysis are often parsimoniously presented by using graphical methods. As HaÈ rdle and Linton (1994) note, non-parametric techniques are advantageously employed for displaying the particular features of a dataset, for diagnostic checking, and for estimating a model without any prior about a particular parametric functional form.

There is now a growing literature which advocates this model-free graphical approach. Useful and well-written references include

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