Hi all, I am wondering if anyone has written (or knows of) a function that will conduct a goodness-of-fit test for a gamma distribution. I am especially interested in test statistics have some asymptotic parametric distribution that is independent of sample size or values of fitted parameters (e.g., a chi-squared distribution with some fixed df), because I want to fit gamma distributions to a large number of data sets (of varying sample size), and then compare the frequency distribution of test statistics with their expected distribution under the null hypothesis that the data really are gamma-distributed. An example might be the test proposed in Kallioras et al, 2006, Communications in Statistics--Theory and Methods 35: 527-540.
Thanks in advance. Regards, Sean ******************************************** Sean R. Connolly, PhD Associate Professor ARC Centre of Excellence for Coral Reef Studies, and School of Marine and Tropical Biology James Cook University Townsville, QLD 4811 AUSTRALIA Ph: 61 7 4781 4242 Fax: 61 7 4725 1570 http://www.coralcoe.org.au/research/seanconnolly.html http://www.jcu.edu.au/school/mbiolaq/staff/sconnolly.html ECOLOGICAL MODELLING LAB: http://www.jcu.edu.au/school/mbiolaq/ind_labs/modelling/index.html VISIT THE NEW CENTRE OF EXCELLENCE FOR CORAL REEF STUDIES at http://www.coralcoe.org.au ********************************************* "I've only ever wanted to be either a rock star or an English professor" -- Michael Wilson [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
