Which distributions have the Matsumoto-Yor property?
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Which distributions have the Matsumoto-Yor property? |
2. | Creator | Author's name, affiliation, country | Angelo Efoevi Koudou; Institut Elie Cartan, Nancy, France |
2. | Creator | Author's name, affiliation, country | Pierre Vallois; Institut Elie Cartan, Nancy, France |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Gamma distribution; generalized inverse Gaussian distribution; Matsumoto-Yor property; Kummer distribution; Beta distribution. |
3. | Subject | Subject classification | 60E05; 62E10 |
4. | Description | Abstract | For four types of functions $ξ : ]0,∞[→ ]0,∞[$, we characterize the law of two independent and positive r.v.'s $X$ and $Y$ such that $U:=ξ(X+Y)$ and $V:=ξ(X)-ξ(X+Y)$ are independent. The case $ξ(x)=1/x$ has been treated by Letac and Wesolowski (2000). As for the three other cases, under the weak assumption that $X$ and $Y$ have density functions whose logarithm is locally integrable, we prove that the distribution of $(X,Y)$ is unique. This leads to Kummer, gamma and beta distributions. This improves the result obtained in [1] where more regularity was required from the densities. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2011-09-29 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ecp.ejpecp.org/article/view/1663 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v16-1663 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 16 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
|