>Hi
>
>I'm analysing fisheries data (number of fish caught per hour) and I have
some 0 values. When I log-trans I have to translate the values by hading
some value.
I guess you mean you have to do something arbitrary about the zeros before
the log transform. The delta distribution is a generaliza
Hi
The data are not discrete. We collect number per hour, so it's a yield !
Thanks
EJ
On Wed, 2002-10-02 at 15:27, Nicholas Lewin-Koh wrote:
> Hi,
> If the data are counts, ie integer number of fish and not tons, you
> might want to try a discrete model such as a negative binomial or
> Poisson
If the skewness of the fish data is causing havoc to your
variograms try one of the more "robust" measures, i.e.
the family of relative variograms (general/pairwise), or the
non-ergodic covariance. Transformation would mask the extreme
values which may or may not be very significant to your
prob
Ernesto
There are several ways of tackling skewed data with
zeroes and I am sure you will get emails from
proponents of this or that other contributor.
Ways which I have found useful:
(1) try a lognormal probability plot and see whether
you have a straight line or if it drops off the line
at lo
Hi
I'm analysing fisheries data (number of fish caught per hour) and I have
some 0 values. When I log-trans I have to translate the values by hading
some value.
My question is which value is the best ? is there any works about this ?
I usually had 1 so that I get values between 0 and infinite (
Here is the feedback that I received on the grade tonnage curve topic. Less
than I thought and there appear to be relatively few books (in print/
readily available) that go into detail on this topic.
Thanks to all that responded.
Regards
Mark Burnett
Alastair Sinclair's reply
Mark
A good bas
Dear list members
Is there anyone who is using GS+?
I have a question on it.
Regards
Ercan Yesilirmak
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