epstein

Function to compute the P-value for the observed Epstein E statistic

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

epstein function

<dl> <dt>x</dt>
<dd>a vector of data of length n</dd> <dt>alternative</dt>
<dd>the direction of the alternative hypothesis. The choices are two.sided, ifr (for increasing failure rate) and dfr (for decreasing failure rate) with the default value being two.sided.</dd> <dt>exact</dt>
<dd>TRUE/FALSE value that determines whether the exact test or the large sample approximation is used if n &gt;= 9. If n &lt; 9 the exact test is used. The default value is FALSE, so the large sample approximation will be used unless specified not to.</dd>
 </dl>

Arguments

Author

Epstein — epstein

<dl>

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

 <dt>alternative</dt>
<dd>the direction of the alternative hypothesis. The choices are two.sided, ifr (for increasing failure rate) and dfr (for decreasing failure rate) with the default value being two.sided.</dd>

 <dt>exact</dt>
<dd>TRUE/FALSE value that determines whether the exact test or the large sample approximation is used if n &gt;= 9. If n &lt; 9 the exact test is used. The default value is FALSE, so the large sample approximation will be used unless specified not to.</dd>
 

</dl>

epstein: Epstein

Description

Usage

Value

Arguments

Author

Examples