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))
``` |

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