| dc.creator | Nagar, Daya Krishna | |
| dc.creator | Sepulveda Murillo, Fabio Humberto | |
| dc.date | 2022-09-02T17:24:10Z | |
| dc.date | 2022-09-02T17:24:10Z | |
| dc.date | 2011 | |
| dc.date.accessioned | 2023-08-28T20:38:05Z | |
| dc.date.available | 2023-08-28T20:38:05Z | |
| dc.identifier | 0041-6932 | |
| dc.identifier | https://hdl.handle.net/10495/30378 | |
| dc.identifier | 1669-9637 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8482090 | |
| dc.description | ABSTRACT: The bivariate confluent hypergeometric function kind 1 distribution is defined by the probability density function proportional to x1ν1 − 1 x2ν2 − 11F1(α; β; −x1 − x2). In this article, we study several properties of this distribution and derive density functions of X1/X2, X1/(X1 + X2), X1 + X2 and 2 √(X1 X2). The density function of 2 √(X1 X2) is represented in terms of modified Bessel function of the second kind. We also show that for ν1 − ν2 = 1/2, 2 √(X1 X2) follows a confluent hypergeometric function kind 1 distribution. | |
| dc.description | COL0000532 | |
| dc.format | 11 | |
| dc.format | application/pdf | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Unión Matemática Argentina | |
| dc.publisher | Análisis Multivariado | |
| dc.publisher | Bahía Blanca, Argentina | |
| dc.relation | Rev. Unión Mat. Argent. | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by/2.5/co/ | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.rights | https://creativecommons.org/licenses/by/4.0/ | |
| dc.title | Properties of the bivariate confluent hypergeometric function kind 1 distribution | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | http://purl.org/coar/resource_type/c_2df8fbb1 | |
| dc.type | https://purl.org/redcol/resource_type/ART | |
| dc.type | Artículo de investigación | |
