Advertisement

Basic Convergence Concepts and Theorems

  • Anirban DasGupta
Part of the Springer Texts in Statistics book series (STS)

Keywords

Cumulative Distribution Function Central Limit Theorem Iterate Logarithm Bernstein Polynomial Empirical Cumulative Distribution Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ash, R. (1972). Real Analysis and Probability, Academic Press, New York.Google Scholar
  2. Billingsley, P.(1995). Probability and Measure, 3rd edition, John Wiley, New York.MATHGoogle Scholar
  3. Breiman, L. (1968). Probability, Addison-Wesley, New York.MATHGoogle Scholar
  4. Chow, Y. and Teicher, H. (1988). Probability Theory, Springer, New York.MATHGoogle Scholar
  5. Ferguson, T.S. (1996). A Course in Large Sample Theory, Chapman and Hall, London.MATHGoogle Scholar
  6. Kolchin, V., Sevastyanov, B., and Chistyakov, V. (1978). Random Allocations, V.H. Winston & Sons, Washington, distributed by Halsted Press, New York.Google Scholar
  7. Massart, P. (1990). The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality, Ann. Prob. 3, 1269–1283.MathSciNetGoogle Scholar
  8. Serfling, R.(1980). Approximation Theorems of Mathematical Statistics, John Wiley, New York.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Anirban DasGupta
    • 1
  1. 1.Department of StatisticsPurdue UniversityWest Lafayette

Personalised recommendations