Description Usage Arguments Details Value Author(s) References See Also Examples

Density, distribution function, quantile function and random generation for the Davies distribution

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`x` |
quantile |

`p` |
vector of probabilities |

`n` |
number of observations. If |

`params` |
A three-member vector holding |

The Davies distribution is defined in terms of its quantile function:

*Cp^lambda_1/(1-p)^lambda2*

It does not have a closed-form probability density function or cumulative density function, so numerical solution is used.

Function
`ddavies()`

gives the density,
`pdavies()`

gives the distribution function,
`qdavies()`

gives the quantile function, and
`rdavies()`

generates random deviates.

Robin K. S. Hankin

R. K. S. Hankin and A. Lee 2006. “A new family of non-negative
distributions” *Australia and New Zealand Journal of
Statistics*, 48(1):67–78

`Gld`

, `fit.davies.p`

,
`least.squares`

, `skewness`

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