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Convergence of Sequences of Random Variables

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Fundamentals of Mathematical Statistics

Part of the book series: Springer Texts in Statistics ((STS))

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Abstract

It has been seen that the inclusion of the ideal points creates worrisome details in measurability; we will be mollifying this somewhat. In this lesson and the next, we combine properties of measurable functions and sequences of real numbers; we include some specific results which will be needed later but we do not include all the interesting facts about sequences.

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© 1989 Springer Science+Business Media New York

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Nguyen, H.T., Rogers, G.S. (1989). Convergence of Sequences of Random Variables. In: Fundamentals of Mathematical Statistics. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1013-9_28

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  • DOI: https://doi.org/10.1007/978-1-4612-1013-9_28

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6984-7

  • Online ISBN: 978-1-4612-1013-9

  • eBook Packages: Springer Book Archive

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