# epstein: Epstein In NSM3: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition

 epstein R Documentation

## Epstein

### Description

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

### Usage

``````epstein(x, alternative = "two.sided", exact=FALSE)
``````

### Arguments

 `x` a vector of data of length n `alternative` 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. `exact` TRUE/FALSE value that determines whether the exact test or the large sample approximation is used if n >= 9. If n < 9 the exact test is used. The default value is FALSE, so the large sample approximation will be used unless specified not to.

### Value

The function returns a list with two elements:

 `E` the value of the Epstein statistic `p` the corresponding probability

Rachel Becvarik

### Examples

``````ex11.1<-c(42, 43, 51, 61, 66, 69, 71, 81, 82, 82)
Ep <- epstein(ex11.1, alt="ifr", exact=TRUE)
Ep\$E
Ep\$p

#Large Sample Approximation
Ep.lsa <- epstein(ex11.1, alt="ifr")

``````

NSM3 documentation built on Sept. 8, 2023, 5:52 p.m.