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On the strong law of large numbers for non-independentB-valued random variables

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Wuhan University Journal of Natural Sciences

Abstract

This paper investigates some conditions which imply the strong laws of large numbers for Banach space valued random variable sequences. Some generalizations of the Marcinkiewicz-Zygmund theorem and the Hoffmann-Jørgensen and Pisier theorem are obtained.

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References

  1. Woyczynski W A. Random Series and Law of Large Numbers in Some Banach Spaces.Teor verojatonost I Primenen, 1973,18: 371–377.

    MathSciNet  Google Scholar 

  2. Hoffmann-Jørgensen, Pisier G. The Law of Large Numbers and the Central Limit Theorem in Banach spaces.Ann Probab, 1976,4: 587–599.

    Article  Google Scholar 

  3. Azlarov T A, Volodin N A. Law of Large Numbers for Identically Distributed Banach Space Valued Random Variables.Theor Probab Appl, 1981,26, 573–580.

    Article  MathSciNet  Google Scholar 

  4. de Acosta A. Inequalities forB-valued Random Vector with Application to the Strong Law of Large Numbers.Ann Probab, 1981,9: 157–161.

    Article  MathSciNet  MATH  Google Scholar 

  5. Hernández V, Romo J J. On the Type Hypothesis for the Strong Law of Large numbers.Statist Probab Lett, 1987,5: 193–195.

    Article  MathSciNet  MATH  Google Scholar 

  6. Gan Shi-xin, Zhao Xing-qiu. Local Convergece of Martingale-like Sequences and the Strong Law of Large Numbers.Northeastern Math J, 1991,7: 87–103 (Ch).

    Google Scholar 

  7. Gan Shi-xin. The Hájek-Rényi Inequality for Banach Space Valued Martingales and thep-smoothness of Banach Spaces.Statist Probab Lett, 1997,32: 245–248.

    Article  MathSciNet  Google Scholar 

  8. Gan Shi-xin. The Hájek-Rényi inequality for Banach Space Valued Random Variable Sequences and Its Application.Wuhan University J of Natural Sciences, 1997,2(1): 13–18.

    Article  Google Scholar 

  9. Chow Y S, Teicher H.Probability Theory Independence, Interchangeability, Martingales (Second Edition). New York: Springer-Verlag world publishing corporation. 1989.

    Google Scholar 

  10. Laha R G, Rohatgi V K.Probability Theory. New York: John Wiley & Sons. 1979.

    MATH  Google Scholar 

  11. Petrov V V. On the Strong Law of Large Numbers.Statist Probab Lett, 1996,26: 377–380.

    Article  MathSciNet  MATH  Google Scholar 

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Foundation item: Supported by the National Natural Science Foundation of China (10071058)

Biography: Gan Shi-xin (1939-), male, Professor, research direction: martingale theory, probability limiting theory and Banach space geometry theory.

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Shi-xin, G. On the strong law of large numbers for non-independentB-valued random variables. Wuhan Univ. J. Nat. Sci. 9, 13–17 (2004). https://doi.org/10.1007/BF02912709

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  • DOI: https://doi.org/10.1007/BF02912709

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