Goodness-of-Fit Tests for the Gamma Distribution
statistic of the Anderson-Darling goodness-of-fit test for the gamma f...
statistic of the Betsch-Ebner test
statistic of the Cramer-von Mises goodness-of-fit test for the gamma f...
bootstrap critical value of statistic
Maximum-likelihood estimation of parameters for the gamma distribution
statistic of the first Henze-Meintanis-Ebner goodness-of-fit test for ...
statistic of the second Henze-Meintanis-Ebner goodness-of-fit test for...
statistic of the Kolmogorov-Smirnov goodness-of-fit test for the gamma...
Print method for tests of Gamma distribution
The Anderson-Darling goodness-of-fit test for the gamma family
The Betsch-Ebner goodness-of-fit test for the gamma family
The Cramer-von Mises goodness-of-fit test for the gamma family
The first Henze-Meintanis-Ebner goodness-of-fit test for the gamma fam...
The second Henze-Meintanis-Ebner goodness-of-fit test for the gamma fa...
The Kolmogorov-Smirnov goodness-of-fit test for the gamma family
The Watson goodness-of-fit test for the gamma family
statistic of the Watson goodness-of-fit test for the gamma family
We implement various classical tests for the composite hypothesis of testing the fit to the family of gamma distributions as the Kolmogorov-Smirnov test, the Cramer-von Mises test, the Anderson Darling test and the Watson test. For each test a parametric bootstrap procedure is implemented, as considered in Henze, Meintanis & Ebner (2012) <doi:10.1080/03610926.2010.542851>. The recent procedures presented in Henze, Meintanis & Ebner (2012) <doi:10.1080/03610926.2010.542851> and Betsch & Ebner (2019) <doi:10.1007/s00184-019-00708-7> are implemented. Estimation of parameters of the gamma law are implemented using the method of Bhattacharya (2001) <doi:10.1080/00949650108812100>.