I am a fisheries resercher in japan and developping/improving stock
assessment method of fisheries resources. I want to estimate precise
abundance and its confidence interval (or confidense limit) of the stock by
applying geostatistical techniques (especially one dimensional transitive
theory) into an acoustic survey data.
Like Mr. William C. Thayer, I am also curious whether we can sestimate
confidence limit of the estimated density/quantity (e.g. 90% or 95%
confidence interval of the estimator) from [estimation variance] which was
derived by geostatistics.
In the classical statistics, it can derive both abundance estimator and
its confidence limit. When we use this method, we suppose that the
estimator may be distributed like normal distribution.
On the contrary, geostatistcs do not have any assumption on the
distribution pattern of the estimator (estimated density or quantity),
hence I think we should not apply common method of calculating [confidence
interval] from the [estimation variance] derived by geostatistics.
Does anyone know whether we can estimate confidencial limit of the
estimator using [estimation variance] derived by geostatistics? If it's
possible, how can we calculate/estimate it?
If you know any informations, suggestions or papers which explain the
matter, please teach me.
Thanks in advance.
Satoshi Honda Hokkaido Natl.Fish.Res.Inst.
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