Abstract
In this chapter we study sequences, or nets, of experiments ℰv which are asymptotically Gaussian in the sense that, as v grows, they are more and more closely approximable by Gaussian experiments. The adjective “local” is meant to contrast this chapter with Chapter 11 where a “global” theory, more directly applicable to practical statistical problems, is given in a moderately general context.
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© 1986 Springer-Verlag New York Inc.
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Cam, L.L. (1986). Asymptotically Gaussian Experiments: Local Theory. In: Asymptotic Methods in Statistical Decision Theory. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4946-7_10
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DOI: https://doi.org/10.1007/978-1-4612-4946-7_10
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-9369-9
Online ISBN: 978-1-4612-4946-7
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