Opening book details…
Can I read Non-Uniform Random Variate Generation on EtoBox?
Non-Uniform Random Variate Generation by Luc Devroye is a nonfiction available to read on EtoBox.
What is Non-Uniform Random Variate Generation about?
Thls text ls about one small fteld on the crossroads of statlstlcs, operatlons research and computer sclence. Statistleians need random number generators to test and compare estlmators before uslng them ln real l!fe. In operatlons research, random numbers are a key component ln !arge scale slmulatlons. Computer sclen tlsts need randomness ln program testlng, game playlng and comparlsons of algo rlthms. The appl!catlons are wlde and varled. Yet all depend upon the same com puter generated random numbers. Usually, the randomness demanded by an appl!catlon has some bullt-ln typlcally, one needs more than just a sequence of Independent random blts or Independent uniform [0,1] random vari ables. Some users need random variables wlth unusual densltles, or random com blnatorlal objects wlth speclftc propertles, or random geometrlc objects, or ran dom processes wlth weil deftned dependence structures. Thls ls preclsely the sub ject area of the book, the study of non-uniform random varlates. The plot evolves around the expected complexlty of random varlate genera tlon algorlthms. We set up an ldeal!zed computatlonal model (wlthout overdolng lt), we lntroduce the notlon of unlformly bounded
Who reads Non-Uniform Random Variate Generation?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Luc Devroye
- Publisher
- Springer New York : Imprint : Springer
- Published
- 2013
- Language
- EN
- ISBN
- 9780387963051
- Category
- nonfiction
- Subjects
- Mathematics, Stem
Other editions & translations
More by Luc Devroye
Browse all works by Luc Devroye
Similar books
- Random Generation of Trees : Random Generators in Computer Science — Laurent Alonso, René Schott (2010)
- Automatic Nonuniform Random Variate Generation (Statistics and Computing) — Wolfgang Hörmann, Josef Leydold, Gerhard Derflinger (2004)
- Random Number Generation and Monte Carlo Methods — Gentle J.E.
- Principles of Random Variate Generation — John Dagpunar (1988)
- BS ISO 28640:2010 - Random variate generation methods — British Standards Institute Staff (2010)
- Computing and Random Numbers — Gacovski Z (2019)