ForgedBankNotes

Six measurements made on 100 forged Swiss bank notes.

datasets

Perform robust inference based on applying Fast and Robust Bootstrap
on robust estimators (Van Aelst and Willems (2013) <doi:10.18637/jss.v053.i03>).
This method constitutes an alternative to ordinary bootstrap or asymptotic inference.
procedures when using robust estimators such as S-, MM- or GS-estimators.
The available methods are multivariate regression, principal component analysis
and one-sample and two-sample Hotelling tests. It provides both the robust point
estimates and uncertainty measures based on the fast and robust bootstrap.

Valentin Todorov

Fast and Robust Bootstrap

 Ella Roelant

 Stefan Van Aelst

Gert Willems

ForgedBankNotes function

The data frame contains the following columns: 
<dl>
<dt><code>Length</code></dt>
<dd>metric length of the bill</dd><dt><code>Left</code></dt>
<dd>height of the bill, measured on the left</dd><dt><code>Right</code></dt>
<dd>height of the bill, measured on the right</dd><dt><code>Bottom</code></dt>
<dd>distance of inner frame to the lower border</dd><dt><code>Top</code></dt>
<dd>distance of inner frame to the upper border</dd><dt><code>Diagonal</code></dt>
<dd>length of the diagonal</dd>
</dl>

Format

Swiss (forged) bank notes data — ForgedBankNotes

The data frame contains the following columns: 
<dl>
<dt><code>Length</code></dt>
<dd>metric length of the bill</dd>

<dt><code>Left</code></dt>
<dd>height of the bill, measured on the left</dd>

<dt><code>Right</code></dt>
<dd>height of the bill, measured on the right</dd>

<dt><code>Bottom</code></dt>
<dd>distance of inner frame to the lower border</dd>

<dt><code>Top</code></dt>
<dd>distance of inner frame to the upper border</dd>

<dt><code>Diagonal</code></dt>
<dd>length of the diagonal</dd>


</dl>

ForgedBankNotes: Swiss (forged) bank notes data

Description

Usage

Arguments

Format

Details

References

Examples