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Random Sequences, Series, and Averages

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Foundations of Modern Probability

Part of the book series: Probability and its Applications ((PIA))

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Abstract

Convergence in probability and in Lp; uniform integrability and tightness; convergence in distribution; convergence of random series; strong laws of large numbers; Portmanteau theorem; continuous mapping and approximation; coupling and measurability

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© 1997 Applied Probability Trust

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(1997). Random Sequences, Series, and Averages. In: Foundations of Modern Probability. Probability and its Applications. Springer, New York, NY. https://doi.org/10.1007/0-387-22704-0_3

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  • DOI: https://doi.org/10.1007/0-387-22704-0_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94957-4

  • Online ISBN: 978-0-387-22704-7

  • eBook Packages: Springer Book Archive

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