dear list!
i have run several glm analysises to estimate a mean rate of dung decay
for independent trials. i would like to compare these results
statistically but can't find any solution. the glm calls are:
dung.glm1-glm(STATE~DAYS, data=o_cov, family=binomial(link=logit))
dear list!
i have run several glm analysises to estimate a mean rate of dung decay
for independent trials. i would like to compare these results
statistically but can't find any solution. the glm calls are:
dung.glm1-glm(STATE~DAYS, data=o_cov, family=binomial(link=logit))
Mailing this twice ain't going to help you. Reading a course on statistics
might.
The test you want to do is answering following hypothesis : The mean
predicted value of a specific model differs when different datasets are used
to fit it. Seems likely to me if the datasets are not almost
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