ch.ro

Function to compute the Campbell-Hollander estimator G-hat

Campbell-Hollander

Designed to replace the tables which were in the back of the first two editions of Hollander and Wolfe - Nonparametric Statistical Methods.  Exact procedures are performed when computationally possible.  Monte Carlo and Asymptotic procedures are performed otherwise.  For those procedures included in the base packages, our code simply provides a wrapper to standardize the output with the other procedures in the package.

Grant Schneider

NSM3

Functions and Datasets to Accompany Hollander, Wolfe, and
Chicken - Nonparametric Statistical Methods, Third Edition

ch.ro function

<dl> <dt>x</dt>
<dd>a vector of data of length r</dd> <dt>n</dt>
<dd>the sample size</dd> <dt>alpha</dt>
<dd>the degrees of confidence in mu</dd> <dt>mu</dt>
<dd>the prior guess of the unknown P (a pdf)</dd> <dt>...</dt>
<dd>all of the arguments needed for mu</dd>
</dl>

Arguments

Author

Campbell-Hollander — ch.ro

<dl>

 <dt>x</dt>
<dd>a vector of data of length r</dd>

 <dt>n</dt>
<dd>the sample size</dd>

 <dt>alpha</dt>
<dd>the degrees of confidence in mu</dd>

 <dt>mu</dt>
<dd>the prior guess of the unknown P (a pdf)</dd>

 <dt>...</dt>
<dd>all of the arguments needed for mu</dd>


</dl>

ch.ro: Campbell-Hollander

Description

Usage

Value

Arguments

Author

References

Examples