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Analysis of agricultural field trials in the presence of outliers and fertility jumps
Journal article   Peer reviewed

Analysis of agricultural field trials in the presence of outliers and fertility jumps

R.H. Taplin and A.E. Raftery
Biometrics, Vol.50(3), pp.764-781
1994
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Abstract

We show how a Bayesian analysis of a fertility model incorporating many of the previously suggested models can account for uncertainty about which fertility model provides the best approximation in any given trial. We also show how uncertainty about anomalies such as outliers and fertility jumps can be accounted for. We argue that this is preferable to conditioning on at 'appropriate' model, and show by examples how accounting for such possible anomalies can both influence support for a particular fertility model and reduce the dependence of treatment estimated on the choice of fertility model

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
9 Mathematics
9.92 Statistical Methods
9.92.220 Robust Estimation
Web Of Science research areas
Biology
Mathematical & Computational Biology
Statistics & Probability
ESI research areas
Mathematics
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