Abstract
The densities of polynomial-normal distributions (PND) are the product of nonegative polynomials and normal densities. These densities provide a rich class of distributions that can be used in modeling when faced with nonnormal characteristics such as skewness and multimodality. We give necessary and sufficient conditions for φ to be a characteristic function (ch.f.) of a PND. Then we given an effective construction of the ch.f. of a PND.
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References
M. Evans and T. Swartz, “Distribution theory and inference for polynomial-normal densities,”Commun. Statist. Theor. Meth.,23, No. 4, 1123–1148 (1994).
E. Lukacs, “On the arithmetical properties of certain entire characteristic functions,” in:Proceedings of 5th Berkeley Symposium of Mathematical Statistics and Probability, Part 1, Univ. of California Press (1967), pp. 401–414.
E. Lukacs, Characteristic Functions, Griffin, London (1970).
A. Plucińska, “Some properties of the polynomial-normal distribution”Demonstratio Math. (1999) (to appear).
A. P. Prudnikov, Yu. A. Bryczkov, and O. I. Mariczew,Integrals and Special Functions [in Russian], Nauka, Moscow (1983).
G. Szegö,Orthogonal Polynomials, American Mathematical Society, New York (1959).
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Proceedings of the Seminar on Stability Problems for Stochastic Models, Vologda, Russia, 1998, Part I.
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Plucińska, A., Plucińskii, E. Characteristic functions of polynomial-normal distributions. J Math Sci 99, 1317–1323 (2000). https://doi.org/10.1007/BF02674091
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DOI: https://doi.org/10.1007/BF02674091