Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-24T16:31:17.939Z Has data issue: false hasContentIssue false

A Frequency-function form of the central limit theorem

Published online by Cambridge University Press:  24 October 2008

Walter L. Smith
Affiliation:
Statistical LaboratoryCambridge

Extract

The central limit theorem in the calculus of probability has been extensively studied in recent years. In its simplest form the theorem states that if X1, X2,… is a sequence of independent, identically distributed random variables of mean zero, then under general conditions the distribution function of Zm = (X1 + … + Xn)/√ n converges as n → ∞ to the normal or Gaussian distribution function. This form of the theorem in terms of distribution functions is the one required in statistical work, since it enables statements to be made about the limiting behaviour of prob {aZnb}.

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1953

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

(1)Cramér, H.Skand. AktuarTidskr. (1928), p. 13.Google Scholar
(2)Cramér, H.Random variables and probability distributions (Camb. Tracts Math. no. 36, 1937).Google Scholar
(3)Hammersley, J. M.Proc. Camb. phil. Soc. 48 (1952), 592–9.Google Scholar
(4)Khintchine, A. I.Mathematical foundations of statistical mechanics (New York, 1949), pp. 166–74.Google Scholar
(5)McShane, E. J.Integration (Princeton, 1947), p. 202.Google Scholar
(6)Titchmarsh, E. C.Introduction to the theory of Fourier integrals (Oxford, 1948), p. 172.Google Scholar