PoweR (version 1.0.7)

Laplace.tests: Goodness-of-fit tests for the Laplace distribution

Description

List of goodness-of-fit tests for the Laplace distribution.

Details

The statistic tests for the Laplace distribution are named in the form stat\(xxxx\).

For the Glen-Leemis-Barr test see stat0038.Glen.

For the 1st Rayner-Best statistic test see stat0039.Rayner1.

For the 2nd Rayner-Best statistic test see stat0040.Rayner2.

For the Anderson-Darling statistic see stat0042.AndersonDarling.

For the Cramer-von Mises statistic see stat0043.CramervonMises.

For the Watson statistic see stat0044.Watson.

For the Kolmogorov-Smirnov statistic see stat0045.KolmogorovSmirnov.

For the Kuiper statistic see stat0046.Kuiper.

For the 1st Meintanis statistic with moment estimators see stat0047.Meintanis1MO.

For the 1st Meintanis statistic with maximum likelihood estimators see stat0048.Meintanis1ML.

For the 2nd Meintanis statistic with moment estimators see stat0049.Meintanis2MO.

For the 2nd Meintanis statistic with maximum likelihood estimators see stat0050.Meintanis2ML.

For the 1st Choi-Kim statistic see stat0051.ChoiKim1.

For the 2nd Choi-Kim statistic see stat0052.ChoiKim2.

For the 3rd Choi-Kim statistic see stat0053.ChoiKim3.

For the Desgagne-Micheaux-Leblanc statistic see stat0054.DesgagneMicheauxLeblanc-Gn.

For the 1st Rayner-Best statistic see stat0055.RaynerBest1.

For the 2nd Rayner-Best statistic see stat0056.RaynerBest2.

For the Langholz-Kronmal statistic see stat0057.LangholzKronmal.

For the Kundu statistic see stat0058.Kundu.

For the Gulati statistic see stat0059.Gulati.

For the Gel statistic see stat0060.Gel.

For the 1st Gonzalez-Estrada and Villasenor test see stat0091.Gonzales1.

For the 2nd Gonzalez-Estrada and Villasenor test see stat0092.Gonzales2.

For the 1st Hogg test see stat0093.Hogg1.

For the 2nd Hogg test see stat0094.Hogg2.

For the 3rd Hogg test see stat0095.Hogg3.

For the 4th Hogg test see stat0096.Hogg4.

For the Rizzo and Haman test see stat0097.Rizzo.

References

Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1--42. doi:10.18637/jss.v069.i03

See Also

See Normality.tests for goodness-of-fit tests for normality. See Uniformity.tests for goodness-of-fit tests for uniformity.