| Titre : | The theory of probability : explorations and applications | | Type de document : | texte imprimé | | Auteurs : | Santosh S. Venkatesh | | Editeur : | Cambridge (GBR) ; West Nyack, N.Y. : CUP. Cambridge University Press | | Année de publication : | 2013 | | Importance : | XXIV-805 p. | | Présentation : | fig., tab. | | Format : | 26 cm | | ISBN/ISSN/EAN : | 978-1-10-702447-2 | | Note générale : | Index | | Langues : | Anglais (eng) | | Descripteurs : | Bernoulli, Daniel (1700-1782) ; Distribution statistique ; Probabilités ; Processus de Poisson ; Transformation de Fourier ; Variable aléatoire
| | Index. décimale : | 161 Théorie des probabilités | | Résumé : | From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic is presented in a modular framework, combining fundamental concepts with worked examples, problems and digressions which, although mathematically rigorous, require no specialised or advanced mathematical background. Augmenting this core material are over 80 richly embellished practical applications of probability theory, drawn from a broad spectrum of areas both classical and modern, each tailor-made to illustrate the magnificent scope of the formal results. Providing a solid grounding in practical probability, without sacrificing mathematical rigour or historical richness, this insightful book is a fascinating reference and essential resource, for all engineers, computer scientists and mathematicians. | | Note de contenu : | Voir résumé et/ou sommaire détaillé en ligne sur le site de l’éditeur. .
| | En ligne : | http://www.cambridge.org/fr/knowledge/isbn/item6932381/?site_locale=fr_FR | | Permalink : | http://genes.bibli.fr/opac/index.php?lvl=notice_display&id=97656 |
The theory of probability : explorations and applications [texte imprimé] / Santosh S. Venkatesh . - Cambridge (GBR) ; West Nyack, N.Y. : CUP. Cambridge University Press, 2013 . - XXIV-805 p. : fig., tab. ; 26 cm. ISBN : 978-1-10-702447-2 Index Langues : Anglais ( eng) | Descripteurs : | Bernoulli, Daniel (1700-1782) ; Distribution statistique ; Probabilités ; Processus de Poisson ; Transformation de Fourier ; Variable aléatoire
| | Index. décimale : | 161 Théorie des probabilités | | Résumé : | From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic is presented in a modular framework, combining fundamental concepts with worked examples, problems and digressions which, although mathematically rigorous, require no specialised or advanced mathematical background. Augmenting this core material are over 80 richly embellished practical applications of probability theory, drawn from a broad spectrum of areas both classical and modern, each tailor-made to illustrate the magnificent scope of the formal results. Providing a solid grounding in practical probability, without sacrificing mathematical rigour or historical richness, this insightful book is a fascinating reference and essential resource, for all engineers, computer scientists and mathematicians. | | Note de contenu : | Voir résumé et/ou sommaire détaillé en ligne sur le site de l’éditeur. .
| | En ligne : | http://www.cambridge.org/fr/knowledge/isbn/item6932381/?site_locale=fr_FR | | Permalink : | http://genes.bibli.fr/opac/index.php?lvl=notice_display&id=97656 |
|  |
Ajouter le résultat dans votre panier Faire une suggestion Affiner la recherche Interroger des sources externesConcentration inequalities / Stéphane Boucheron / Oxford (GBR) ; New York ; Paris : OUP. Oxford University Press (2013)
