Summary
In more papers author dealt with a new foundation of the mixture theory of probability distribution functions. In this paper a part of the obtained results is used to give necessary and sufficient condition in order to decide whether a given characteristic function is a factor of another one, or not.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gyires, B. Contribution to the theory of linear combination of probability distribution functions. Stud. Sci. Math. Hung. 16 (1981), 297–324.
Gyires, B. The mixture of probability distribution functions by absolutely continuous weight functions. Acta Sci. Math. 48 (1985), 173–186.
Linnik, Yu. V. Decomposition of probability distributions.Oliver & Boyd Ltd., Edinburgh & London, 1964.
Lukacs, E. Characteristic functions. Charles Griffin & Co. Limited, London, 1960.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1987 Physica-Verlag Heidelberg
About this chapter
Cite this chapter
Gyires, B. (1987). An Application of the Mixture Theory to the Decomposition Problem of Characteristic Functions. In: Sendler, W. (eds) Contributions to Stochastics. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-46893-3_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-46893-3_13
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-642-46895-7
Online ISBN: 978-3-642-46893-3
eBook Packages: Springer Book Archive