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Dear Abad,
Another statistic tool to access the magnitude of the effects of your variables
is the analysis of deviance, given in the generalized linear models. In GLM you
can use both category and continuous data, and also you can choose
distributions other than gaussian, like gamma.
There's an example in Quinn & Deriso 1999 (Quantitative Fish Dymamics). See
pages 18 to 25. They check the effects of year, area and depth on CPUE. You can
do the same with shell height. In the example they use normal distribution, log
link function and all variables are categories. Depending on your data, you can
improve this.
I use the program R (www.r-project.org), it's a freeware and runs on different
plataforms. If you want I can send you a pdf demostrating how to solve Quinn &
Deriso's example in R.
Best regards,
Antonio Olinto Avila da Silva
Sao Paulo Fisheries Institute
Brazil
Citando Antonio Hervas Abad <[log in to unmask]>:
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> I'm working with scallop (pecten maximus) stock assessment in Ireland. One
> of the stock assessment procedures that i am carrying on is a sampling
> programm from the landings. Shell height is recoreded from each landing.
> After several measurements from differents vessels, differents fishing
> areas and different time of the year i want to study the effect of vessels,
> season and location, on the scallop size structure obtained from the
> sampling. I understand that analysis of variance (ANOVA or MANOVA) is the
> method to use for this study but maybe some of you has experience working
> with similars studies and can advice to me of which statistic analysis is
> the more suitable.
>
> Thanks very much
>
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WebMail Bignet - O seu provedor do litoral
www.bignet.com.br
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