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Exponential Type Estimates of Probabilities

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Abstract

Exponential rate is the best in convergence in probability. Such inequalities are important when investigating the law of large numbers and the law of iterated logarithm. Some of such inequalities are well known and frequently employed in statistics and probability, such as Hoeffding, Bernstein, Bennett and Kolmogorov inequalities. These inequalities can be found in most textbooks on limiting theorems, such as (1977), (1995). Some new inequalities will be referenced therein.

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References

  • Bennett G. 1962. Probability inequalities for the sum of independent random variables. Ann. Statist. Assoc., 57: 33–45.

    Article  MATH  Google Scholar 

  • Feller W. 1968. An Introduction to Probability Theory and Its Applications. 3rd ed.. New York: Wiley.

    MATH  Google Scholar 

  • Freedman D A. 1975. On tail probabilities for martingales. Ann. Probab., 3: 100–118.

    Article  MATH  Google Scholar 

  • Hoeffding W. 1963. Probability inequalities for sums of bounded random variables. J. Amer. Statist. Assoc., 58: 13–30.

    Article  MathSciNet  MATH  Google Scholar 

  • Lin Z Y. 1987. On Csőrgö-Rèvèsz’s increments of sums of non-i.i.d. Random Variables. Scientia Sinica, 30(A): 921–931.

    MATH  Google Scholar 

  • Lin Z Y, Lu C L. 1992. Strong Limit Theorems. Dordrecht & Beijing: Kluwer Academic Publishers & Science Press.

    MATH  Google Scholar 

  • Loéve M. 1977. Probability Theory. 4th ed.. New York: Springer-Verlag.

    MATH  Google Scholar 

  • Petrov V V. 1995. Limit Theorems of Probability Theory: Sequences of Independent Random Variables. Oxford & New York: Clarendon Press & Oxford University Press.

    MATH  Google Scholar 

  • Shorack G R, Wellner J A. 1986. Empirical processes with applications to statistics. New York: Wiley.

    MATH  Google Scholar 

  • Stout W. 1974. Almost Sure Convergence. New York: Academic Press.

    MATH  Google Scholar 

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© 2010 Science Press Beijing and Springer-Verlag Berlin Heidelberg

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Lin, Z., Bai, Z. (2010). Exponential Type Estimates of Probabilities. In: Probability Inequalities. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05261-3_7

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