The five-parameter generalized gamma distribution is one of the most flexible distributions in statistics. In this note, for the first time, we provide asymptotic covariances for the parameters using both the method of maximum likelihood and the method of moments.
@article{bwmeta1.element.bwnjournal-article-doi-10_4064-am38-1-6, author = {Christopher S. Withers and Saralees Nadarajah}, title = {Asymptotic covariances for the generalized gamma distribution}, journal = {Applicationes Mathematicae}, volume = {38}, year = {2011}, pages = {85-92}, zbl = {1213.62029}, language = {en}, url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-doi-10_4064-am38-1-6} }
Christopher S. Withers; Saralees Nadarajah. Asymptotic covariances for the generalized gamma distribution. Applicationes Mathematicae, Tome 38 (2011) pp. 85-92. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-doi-10_4064-am38-1-6/