GEOSTATS: Estimating Confidence Limits
- I am looking for references that address problems/solutions associated
with estimating confidence intervals and population statistics using
data that do not fit a normal or lognormal distribution. To put it
another way, I am interested in identifying references that address the
bias and variance of the population mean and variance estimators that
rely on the normal/lognormal assumption when the assumption is not
valid. I am particularly interested in the use of Land's method for log
transformed data when the fit is poor (but better than the fit of the
untransformed data) .
I am writing a thesis that involves comparing spatial methods
(parametric and non-parametric) of estimating confidence intervals to
the method (based on Land, C.E.) included in EPA risk assessment
guidance for normally and lognormally distributed data. Most of the
data I am using does not appear to fit a normal or lognormal
All responses will be greatly appreciated,
SUNY College of Environmental Science and Forestry
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