Description Usage Arguments Details Value Author(s) References Examples

Performs Wong and Wong test for the composite hypothesis of exponentiality, see e.g. Ascher (1990).

1 | ```
ww.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:

*
Q=X_{(n)}/X_{(1)},
*

where *X_{(1)}* and *X_{(n)}* are the smallest and the largest order statistics respectively.
The p-value is computed by Monte Carlo simulation.

A list with class "htest" containing the following components:

`statistic` |
the value of the statistic of the test. |

`p.value ` |
the p-value for the test. |

`method` |
the character string "Wong and Wong 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 | ```
ww.exp.test(rexp(100))
ww.exp.test(abs(rcauchy(100)))
``` |

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