Description Usage Arguments Details Value Author(s) References Examples
Performs the WE test for the composite hypothesis of exponentiality, see e.g. Ascher (1990).
1 | we.exp.test(x, nrepl=2000)
|
x |
a numeric vector of data values. |
nrepl |
the number of replications in Monte Carlo simulation. |
The test is based on the following statistic
WE =∑_{i=1}^n{(X_i-\overline{X})^2}/{≤ft(∑_{i=1}^n{X_i}\right)^2}.
The p-value is computed by Monte Carlo simulation.
A list with class "htest" containing the following components:
statistic |
the value of the WE test statistic. |
p.value |
the p-value for the test. |
method |
the character string "WE test for exponentiality". |
data.name |
a character string giving the name(s) of the data. |
Ruslan Pusev and Maxim Yakovlev
Ascher, S. (1990): A survey of tests for exponentiality. — Communications in Statistics – Theory and Methods, vol. 19, pp. 1811–1825.
1 2 | we.exp.test(rexp(100))
we.exp.test(runif(100, min = 50, max = 100))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.