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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

The effect of photoperiod and prey density on long‐term survival of larvae—a data analytic... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Stochastic Models and Data Analysis Wiley

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

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References (23)

Publisher
Wiley
Copyright
Copyright © 1990 Wiley Subscription Services, Inc., A Wiley Company
ISSN
8755-0024
eISSN
1099-0747
DOI
10.1002/asm.3150060104
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Applied Stochastic Models and Data AnalysisWiley

Published: Mar 1, 1990

Keywords: ; ; ; ; ;

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