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Stability of Filtered Experiments

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Contributions to Stochastics

Summary

A family of probability measures on a filtered probability space is called a filtered experiment. It is shown that sequences of filtered experiments, which are obtained by rescaling a fixed filtered experiment, can only have weak limits satisfying an invariance property called stability. This property allows a simplified approach to the problem of determining the sample size needed for separating parameter points by critical functions. In case of independent, identically distributed observations, the result covers previous assertions obtained by the author, [3]. In general, the result covers the case of dependent observations. It can be explained, how so-called mixed-normal situations arise in the limit. As a by-product we show, how an increasing family of experiments can be represented by a filtered experiment.

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References

  1. Basawa, I.V. and D.J. Scott: Asymptotic optimal inference for non-ergodic models. Springer, New York, 1983.

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  2. Lecam, L.: Limits of experiments. Proc. 6th Berkeley Symp. Math. Stat. Prob., Vol. 1, 245–261, 1972.

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  3. Strasser, H.: Scale invariance of statistical experiments. Probability and Mathematical Statistics, Vol. 5, 1–20, 1985.

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  4. Strasser, H.: Mathematical Theory of Statistics: Statistical Experiments and Asymptotic Decision Theory. De Gruyter Studies in Mathematics 7, de Gruyter, Berlin, 1985.

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  5. Strasser, H.: Martingale difference arrays and stochastic integrals. Probab. Th. Rel. Fields 72, 83–98 (1986).

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  6. Swensen, A.R.: Conditions for contiguity of probability measures under an asymptotic negligibility condition. Ph. D., Berkeley, 1980.

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© 1987 Physica-Verlag Heidelberg

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Strasser, H. (1987). Stability of Filtered Experiments. In: Sendler, W. (eds) Contributions to Stochastics. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-46893-3_21

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  • DOI: https://doi.org/10.1007/978-3-642-46893-3_21

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-642-46895-7

  • Online ISBN: 978-3-642-46893-3

  • eBook Packages: Springer Book Archive

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