The effect of photoperiod and prey density on long-term survival of larvae—a data analytic approach where no parametric model is assumed and individual follow-up is not available
✍ Scribed by Schechtman, Edna ;Wax, Yochanan ;Tandler, Amos
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 784 KB
- Volume
- 6
- Category
- Article
- ISSN
- 8755-0024
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✦ Synopsis
A data analytic approach for analysing differences in long-term survival and identifying treatment combinations which provide high survival in a factorial design set-up is presented. The methods are particularly appropriate when individual follow-up data are not available and no simple model fits the data. Upper quantiles of the survival distributions are used as the response variable and within and between-treatment differences are analysed through both a structured ANOVA model and subset-selection procedure. The methods are used to study the effects of several photoperiods and prey density treatments on the long-term survival of the larvae of gilthead seabream, Sparus aurata. The two approaches used are shown to lead to similar conclusions.