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Limit Theorems for Independent Random Variables

  • Yuan Shih Chow
  • Henry Teicher
Chapter
  • 1.7k Downloads
Part of the Springer Texts in Statistics book series (STS)

Abstract

Prior discussion of the strong and weak laws of large numbers centered around the i.i.d. case. Necessary and sufficient conditions for the weak law are available when the underlying random variables are merely independent and have recently been obtained for the strong law as well. Unfortunately, the practicality of the latter conditions leaves much to be desired.

Keywords

Limit Theorem Independent Random Variable Ergodic Theorem Iterate Logarithm Finite Linear Combination 
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.

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Yuan Shih Chow
    • 1
  • Henry Teicher
    • 2
  1. 1.Department of StatisticsColumbia UniversityNew YorkUSA
  2. 2.Department of StatisticsRutgers UniversityNew BrunswickUSA

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