Abstract
In any given inference situation, many statistical procedures may be available, both parametric and nonparametric. Some measure of their relative merits is needed, especially as regards their performance or operating characteristics. For instance, a comparison of the power functions of various tests of the same (or essentially the same) hypotheses would be of interest. It is frequently more convenient, and also more suggestive, to use a measure of relative merit called the relative efficiency.
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© 1981 Spring-Verlag New York Inc.
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Pratt, J.W., Gibbons, J.D. (1981). Asymptotic Relative Efficiency. In: Concepts of Nonparametric Theory. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5931-2_8
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DOI: https://doi.org/10.1007/978-1-4612-5931-2_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-5933-6
Online ISBN: 978-1-4612-5931-2
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