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- W1634263511 abstract "Consider a parametric family β = {Pθ,n:(θ,n) ∈ Θ × H} with Θ ⊂IRp and H arbitrary. We are interested in estimating the (structural) parameter θ The value of the nuisance parameter n changes from observation to observation, being a random variable, distributed according to some p-measure Γ on (H ,ℬ), i.e., the observation xν is a realization governed by Pθ,nν, and nν is a realization governed by Γ.KeywordsCovariance MatrixMaximum Likelihood EstimatorConditional ExpectationNuisance ParameterIndependent RealizationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1634263511 created "2016-06-24" @default.
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- W1634263511 date "1982-01-01" @default.
- W1634263511 modified "2023-10-17" @default.
- W1634263511 title "Random Nuisance Parameters" @default.
- W1634263511 doi "https://doi.org/10.1007/978-1-4612-5769-1_15" @default.
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