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Certain Fourier Transforms of Distributions

Published online by Cambridge University Press:  20 November 2018

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Fourier transforms of distribution functions are frequently studied in the theory of probability. In this connection they are called characteristic functions of probability distributions. It is often of interest to decide whether a given function φ(t) can be the characteristic function of a probability distribution, that is, whether it admits the representation

Type
Research Article
Copyright
Copyright © Canadian Mathematical Society 1951

References

[1] Bochner, S., Monotone Funktionen, Stieltjessche Intégrale und harmonische Analyse, Math. Ann., vol 108, (1933), 378410.Google Scholar
[2] Cramer, H., On the representation of a function by certain Fourier integrals. Trans. Amer. Math. Soc, vol. 46, (1939), 191201.Google Scholar
[3] Cramer, H., Mathematical methods of statistics (Princeton University Press, 1946).Google Scholar
[4] Khintchine, A., Zur Kennzeichnung der charakteristischen Funktionen. Bull. Math. Univ. Moscou, vol. 1 (1937), 131.Google Scholar
[5] Levy, P., L'arithmétique des lois de probabilités, J. Math. Pures Appliquées, vol. 17 (1938), 1739.Google Scholar
[6] Marcinkiewicz, J., Sur une propriété de la loi de Gauss, Math. Zeit., vol. 44 (1938), 612618.Google Scholar
[7] Pólya, G., Remarks on characteristic functions, Proceedings of the Berkeley Symposium on mathematical statistics and probability (1949), 115123.Google Scholar
[8] Schoenberg, I. J., On totally positive functions, Laplace integrals and entire functions ef the Laguerre-Pólya-Schur type, Proc. Nat. Acad. Sci., vol. 33 (1947), 1117.Google Scholar