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. I have listed some references below, the top two have a more
> Bayesian flavor.
> 
> Nicholas
> 
> 
> Alexander, N., Moyeed, R., Stander, J. (2000).  Spatial modelling of
> individual-level parasite counts using the negative binomial
> distribution, Biostatistics, 2000, 1, 453-463.
> 
> Diggle, P. J., Moyeed, R. A., Tawn, J. A. (1998).  Model-based
> geostatistics (with discussion), J. R. Statist. Soc. C, 47, 299-350.
> 
> Gotway, C.A., Stroup, W.W. (1997) A Generalized Linear Model Approach
> to Spatial Data Analysis and Prediction. Journal of Agricultural, Bio-
> logical and Environmental Statistics 2(2), pp. 157­178.
> 
> 
> On Wed, 2002-10-02 at 19:24, Ernesto Jardim wrote:
> > 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 (no negative
> > value) but I have doubts about it.
> > 
> > Regards
> > 
> > EJ
> > 
> > 
> > 
> > 
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> 



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