Description Usage Arguments Details Value References Examples

View source: R/teststatistics.R

This function computes the goodness-of-fit test statistic for the gamma family in the spirit of Watson. Note that this tests the composite hypothesis of fit to the family of gamma distributions, i.e. a bootstrap procedure is implemented to perform the test, see `crit.values`

.

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`data` |
a vector of positive numbers. NOTE: |

`k_estimator` |
value of the estimated |

The Watson test is computed as described in Henze et. al. (2012). Values of `k_estimator`

are found by `gamma_est`

.

value of the test statistic

Henze, N., Meintanis, S.G., Ebner, B. (2012) "Goodness-of-fit tests for the Gamma distribution based on the empirical Laplace transform". Communications in Statistics - Theory and Methods, 41(9): 1543-1556. DOI

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