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Part of the book series: Lecture Notes in Statistics ((LNS,volume 31))

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Abstract

For i = 0,1 let \(p_i^{(n)}\), n∈ℕ, be sequences of p-measures approximating P(n). Let \(p_i^{(n)}\) denote a density of \(p_i^{(n)}\). It is well known that tests based on the test statistic log(\(p_1^{(n)} /p_o^{(n)}\)) are most powerful for \(p_o^{(n)}\) against \(p_1^{(n)}\). In this section it will be shown that sequences of test statistics log(\(\left( {p_1^{(n)} /p_o^{(n)} } \right) + R_N\)), n ∈ ℕ, are most powerful of order o(n−1/2) under relatively weak conditions on the remainder sequence Rn, n ∈ ℕ.

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© 1985 Springer-Verlag Berlin Heidelberg

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Pfanzagl, J. (1985). Asymptotic Expansions for Power Functions. In: Asymptotic Expansions for General Statistical Models. Lecture Notes in Statistics, vol 31. Springer, New York, NY. https://doi.org/10.1007/978-1-4615-6479-9_7

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  • DOI: https://doi.org/10.1007/978-1-4615-6479-9_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96221-4

  • Online ISBN: 978-1-4615-6479-9

  • eBook Packages: Springer Book Archive

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