Šio darbo tikslas ištirti atsitiktinių procesų prognozavimo matematinius metodus ir nustačius nehomogeninio Puasono proceso algoritmą jį pritaikyti konkretiems atvejams. / In the first part of this work is theory, which focuses on random processes of prediction. In the second part of a non-homogeneous Poisson process explored prediction. In order to obtain the non-homogeneous Poisson process, we have a complete and sufficient statistics in three cases, the fourth complex cases such statistics didn’t exist. Taking advantage of these results were obtained by a non-homogeneous Poisson process uniformly minimum dispersion unbiased prediction in three of the cases examined, when the corresponding parameter is known or unknown. Along submitted analytical predictions expression.
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2014~D_20140716_142417-31942 |
| Date | 16 July 2014 |
| Creators | Jašmontaitė, Lina |
| Contributors | Kanišauskas, Vaidotas, Laurinčikas, Antanas, Gedgaudas, Pranas, Korsakienė, Daiva, Šiaučiūnas, Darius, Grišiuvienė, Audronė, Dronova-Platbarzdė, Lydija, Siauliai University |
| Publisher | Lithuanian Academic Libraries Network (LABT), Siauliai University |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Bachelor thesis |
| Format | application/pdf |
| Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140716_142417-31942 |
| Rights | Unrestricted |
Page generated in 0.0017 seconds