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On the behaviour of the characteristic function of a probability distribution in the neighbourhood of the origin

Published online by Cambridge University Press:  09 April 2009

E. J. G. Pitman
Affiliation:
The Johns Hopkins UniversityBaltimore, Md. and The University of Melbourne
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Let X be a real valued random variable with probability measure P and distribution function F. It will be convenient to take F as the intermediate distribution function defined by . In mathematical analysis it is a little more convenient to use this function rather than , which arise more naturally in probability theory. In all cases we shall consider With this definition, if the distribution function of X is F(x), then the distribution function of −X is 1−F(−x). The distribution of X is symmetrical about 0 if F(x) = 1 − F(−x).

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 1968

References

[1]Pitman, E. J. G., ‘Some theorems on characteristic functions of probability distributions’. Proc. Fourth Berkeley Symp. Math. Statist. Prob. (1960) 2, 393402Google Scholar
[2]Karamata, M. J., ‘Sur un mode de croissance régulière des fonctions’. Mathematica (Cluj), V. iv, (1930) 3853.Google Scholar
[3]Karamata, M. J., ‘Sur un mode de croissance régulière.Théorèmes fondamentaux’. Bull. de la soc. math. de France. 61 (1933) 5562.Google Scholar
[4]Whittaker, E. T. and Watson, G. N., A Course of Modern Analysis (Cambridge University Press, 4th ed. 1927).Google Scholar
[5]Durell, C. V. and Robson, A., Advanced Trigonometry (G. Bell and Sons, 1930).Google Scholar