| dc.contributor | Universidade Estadual Paulista (Unesp) | |
| dc.contributor | Univ Karlsruhe TH | |
| dc.date.accessioned | 2014-05-20T14:01:48Z | |
| dc.date.accessioned | 2022-10-05T14:49:02Z | |
| dc.date.available | 2014-05-20T14:01:48Z | |
| dc.date.available | 2022-10-05T14:49:02Z | |
| dc.date.created | 2014-05-20T14:01:48Z | |
| dc.date.issued | 2011-01-01 | |
| dc.identifier | Stochastic Analysis and Applications. Philadelphia: Taylor & Francis Inc, v. 29, n. 2, p. 185-196, 2011. | |
| dc.identifier | 0736-2994 | |
| dc.identifier | http://hdl.handle.net/11449/21813 | |
| dc.identifier | 10.1080/07362994.2011.532038 | |
| dc.identifier | WOS:000287704800002 | |
| dc.identifier | 3587123309745610 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3895536 | |
| dc.description.abstract | Associated with an ordered sequence of an even number 2N of positive real numbers is a birth and death process (BDP) on {0, 1, 2,..., N} having these real numbers as its birth and death rates. We generate another birth and death process from this BDP on {0, 1, 2,..., 2N}. This can be further iterated. We illustrate with an example from tan(kz). In BDP, the decay parameter, viz., the largest non-zero eigenvalue is important in the study of convergence to stationarity. In this article, the smallest eigenvalue is found to be useful. | |
| dc.language | eng | |
| dc.publisher | Taylor & Francis Inc | |
| dc.relation | Stochastic Analysis and Applications | |
| dc.relation | 0.541 | |
| dc.relation | 0,453 | |
| dc.rights | Acesso restrito | |
| dc.source | Web of Science | |
| dc.subject | Birth and death process | |
| dc.subject | Continued fractions | |
| dc.subject | Orthogonal polynomials | |
| dc.subject | Tridiagonal matrices | |
| dc.title | Generating Birth and Death Processes | |
| dc.type | Artigo | |
