CONVERGENCE RATES IN THE LAW OF LARGE NUMBERS

and let SN = Ek-l aN,k(Xk - EXk). Early work in probability dealt with the convergence (almost everywhere and in probability) to zero of the sequence AN. More recent work has dealt with the convergence to zero of sequences of the form SN under various assumptions on the coefficients aN,k and the distributions of the XN's. In most cases the assumptions made about the XN's have been not much stronger or weaker than the assumption of a finite upper bound on their ,yth absolute moments for some 'y > 1. The classical result giving exponential convergence rates in the law of large numbers was established by Cram6r [6] (see also [4]) and states that if the XN'S are identically distributed, and if their common moment generating function is finite in some interval about the origin, then for each e > 0 there exists 0 'e 2p . Baum, Katz, and Read [3] investigated this ex

[1]  V. Rohatgi Convergence rates in the law of large numbers. II , 1968, Mathematical Proceedings of the Cambridge Philosophical Society.

[2]  Some results giving rates of convergence in the law of large numbers for weighted sums of independent random variables , 1966 .

[3]  Y. S. Chow Some Convergence Theorems for Independent Random Variables , 1966 .

[4]  D. L. Hanson,et al.  A probability bound for integrals with respect to stochastic processes with independent increments , 1965 .

[5]  J. Doob Stochastic processes , 1953 .

[6]  F. T. Wright,et al.  Some more results on rates of convergence in the law of large numbers for weighted sums of independent random variables , 1966 .

[7]  H. Chernoff A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations , 1952 .

[8]  Michel Loève,et al.  Probability Theory I , 1977 .

[9]  L. Baum,et al.  Convergence rates in the law of large numbers , 1963 .

[10]  Steven Orey,et al.  Convergence of weighted averages of independent random variables , 1965 .

[11]  L. H. Koopmans An Exponential Bound on the Strong Law of Large Numbers for Linear Stochastic Processes with Absolutely Convergent Coefficients , 1961 .

[12]  D. L. Hanson,et al.  On the Convergence Rate of the Law of Large Numbers for Linear Combinations of Independent Random Variables , 1965 .

[13]  Paul Erdös,et al.  On a Theorem of Hsu and Robbins , 1949 .

[14]  M. Katz,et al.  The Probability in the Tail of a Distribution , 1963 .