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- W188674906 abstract "In this article we extend the theory of optimum designs for generalized linear models, addressing the optimality of designs for parameter estimation in a location-dispersion model when either not all p parameters in the mean model or not all q parameters in the dispersion model are of interest. The criterion of Bayesian D s-optimality is adopted and its properties are derived. The theory is illustrated with an example from the coffee industry." @default.
- W188674906 created "2016-06-24" @default.
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- W188674906 date "2007-01-01" @default.
- W188674906 modified "2023-10-14" @default.
- W188674906 title "Bayesian D s-Optimal Designs for Generalized Linear Models with Varying Dispersion Parameter" @default.
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- W188674906 doi "https://doi.org/10.1007/978-3-7908-1952-6_23" @default.
- W188674906 hasPublicationYear "2007" @default.
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