Article ID Journal Published Year Pages File Type
1148901 Journal of Statistical Planning and Inference 2014 10 Pages PDF
Abstract
The considered problem concerns simultaneous inference for curve-confined natural parameters of independent, heterogeneous gamma random variables with known shape parameters. A loss function is suggested that is motivated by meta-analysis, and some properties of the minimax value of the corresponding risk are obtained. Bayes estimators and quadrature formulas for their numerical evaluation are provided, along with Monte Carlo simulations and comparisons of numerical implementations of several alternative estimators.
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
Authors
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