We analyse the estimates of the distribution of the extreme values. The results are shown for identically distributed random variables, nonidentically distributed random variables and many-dimentional random variabes. In this paper we prove the theorems, where analogical estimates for density of extreme values are obtained. We analyse them for identically distributed random variables (linear and non-linear normalization).
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2006~D_20060531_143803-91263 |
| Date | 31 May 2006 |
| Creators | Bražėnaitė, Kristina |
| Contributors | Navickas, Zenonas, Barauskas, Arūnas, Saulis, Leonas, Valakevičius, Eimutis, Aksomaitis, Algimantas Jonas, Jokimaitis, Arvydas, Janilionis, Vytautas, Rudzkis, Rimantas, Mačys, Juozas, Pekarskas, Vidmantas Povilas, Kaunas University of Technology |
| Publisher | Lithuanian Academic Libraries Network (LABT), Kaunas University of Technology |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Master thesis |
| Format | application/pdf |
| Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060531_143803-91263 |
| Rights | Unrestricted |
Page generated in 0.0039 seconds