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One-Sample Tests for Dependent Observations

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Transactions of the Eighth Prague Conference

Part of the book series: Czechoslovak Academy of Sciences ((TPCI,volume 8A))

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Abstract

If the observations are dependent it is well-known that the usual one-sample tests may be invalidated. For the case where the observations come from a moving average process or from an autoregressive process, some methods are discussed to obtain tests which have at least asymptotically the prescribed level.

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References

  • Albers, W. (1976 a): Testing the mean of a normal population under dependence. Submitted to the Ann. of Statist.

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  • Albers, W. (1976 b): One-sample rank tests under autoregressive dependence. To appear in the Ann. of Statist.

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  • Anderson, T.W. (1971): The statistical analysis of time series. Wiley, New York.

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© 1978 ACADEMIA, Publishing House of the Czechoslovak Academy of Sciences, Prague

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Albers, W. (1978). One-Sample Tests for Dependent Observations. In: Transactions of the Eighth Prague Conference. Czechoslovak Academy of Sciences, vol 8A. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-9857-5_7

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  • DOI: https://doi.org/10.1007/978-94-009-9857-5_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-9859-9

  • Online ISBN: 978-94-009-9857-5

  • eBook Packages: Springer Book Archive

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