nonparametric significance test for one sample
HelponR <suncertain <at> gmail.com> writes:
Hi, Greg: Just let you know that the beta regression package in R can only work for data on the open interval (0, 1) Do you know any good test of mean for beta distribution? How to verify if the data is beta distributed? For example, I may want to test the null : mean <= 0.0000000001 I think your idea of testing zero for nonnegative numbers makes sense. But it seems to make a null hypothesis on a distribution, not simply mean. I could be bettered off if I can find a good nonparametric test which does not assume symmetry or a test for beta distribution if the beta distribution can be verified. Many thanks, S
Possibly contrary to what the documentation for the beta regression package, the beta distribution has finite density for 0 and 1 _if_ the shape parameters are large enough/variance parameter is small enough (but probably this is not your situation, if you have lots of zeros). fitdistr() in the MASS package will give a maximum-likelihood fit of the beta distribution to a univariate distribution, but if you want to calculate profile confidence limits etc. you might want to look into the mle() function in the stats4 package ... Ben Bolker