2014, ISBN: 9783642546167
La théorie des probabilités et des processus stochastiques est sans aucun doute l'un des plus importants outils mathématiques des sciences modernes. Le théorie des probabilité s'illustre … Altro …
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2014, ISBN: 9783642546167
La théorie des probabilités et des processus stochastiques est sans aucun doute l'un des plus importants outils mathématiques des sciences modernes. Le théorie des probabilité s'illustre … Altro …
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2014, ISBN: 9783642546167
Une introduction avec applications, eBooks, eBook Download (PDF), 2014, [PU: Springer Berlin], Seiten: 487, Springer Berlin, 2014
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2014, ISBN: 9783642546167
Une introduction avec applications, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2014
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2014, ISBN: 9783642546167
Une introduction avec applications, eBooks, eBook Download (PDF), 2014, [PU: Springer Berlin], Springer Berlin, 2014
lehmanns.de Costi di spedizione:Download sofort lieferbar. (EUR 9.95) Details... |
2014, ISBN: 9783642546167
La théorie des probabilités et des processus stochastiques est sans aucun doute l'un des plus importants outils mathématiques des sciences modernes. Le théorie des probabilité s'illustre … Altro …
2014, ISBN: 9783642546167
La théorie des probabilités et des processus stochastiques est sans aucun doute l'un des plus importants outils mathématiques des sciences modernes. Le théorie des probabilité s'illustre … Altro …
2014
ISBN: 9783642546167
Une introduction avec applications, eBooks, eBook Download (PDF), 2014, [PU: Springer Berlin], Seiten: 487, Springer Berlin, 2014
2014, ISBN: 9783642546167
Une introduction avec applications, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2014
2014, ISBN: 9783642546167
Une introduction avec applications, eBooks, eBook Download (PDF), 2014, [PU: Springer Berlin], Springer Berlin, 2014
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Informazioni dettagliate del libro - Modèles et méthodes stochastiques
EAN (ISBN-13): 9783642546167
Anno di pubblicazione: 2014
Editore: Springer-Verlag
Libro nella banca dati dal 2014-05-18T11:42:47+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-03-08T20:49:02+01:00 (Zurich)
ISBN/EAN: 9783642546167
ISBN - Stili di scrittura alternativi:
978-3-642-54616-7
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : pierre, mora, verg, christelle, moral
Titolo del libro: methodes
Dati dell'editore
Autore: Pierre Del Moral; Christelle Vergé
Titolo: Mathématiques et Applications; Modèles et méthodes stochastiques - Une introduction avec applications
Editore: Springer; Springer Berlin
487 Pagine
Anno di pubblicazione: 2014-04-14
Berlin; Heidelberg; DE
Lingua: Francese
58,84 € (DE)
60,50 € (AT)
66,00 CHF (CH)
Available
XXIV, 487 p. 71 ill.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; algorithmes; applications et exercices corrigés; chaines de Markov discrètes et continues; méthodes stochastiques (MCMC); probabilités; C; Probability Theory; Algorithms; Applications of Mathematics; Mathematics and Statistics; Stochastik; Algorithmen und Datenstrukturen; Angewandte Mathematik; BC
Probability theory and stochastic process theory are undoubtedly among the most important mathematic tools for the modern sciences. Probability theory has applications in several fields, such as biology, physics and the engineering sciences: population dynamics, signal and image processing, molecular chemistry,econometrics, actuarial science, financial mathematics, and risk analysis. This book provides an overview of stochastic models and methods for this very active field. Stochastic process theory is a natural extension of dynamic systems to random events. The book covers the modeling of random events in physics, biology, economics and the engineering sciences, while also introducing advanced problem-solving techniques in Bayesian statistics, signal processing and rare event analysis. No scientific background in stochastic process theory is needed.
Stochastic Models and Methods
Probability theory and stochastic process theory are undoubtedly among the most important mathematic tools for the modern sciences. Probability theory has applications in several fields, such as biology, physics and the engineering sciences: population dynamics, signal and imageprocessing, molecular chemistry, econometrics, actuarial science, financial mathematics, and risk analysis. This book provides an overview of stochastic models and methods for this very active field. Stochastic process theory is a natural extension of dynamic systems to random events. The book covers the modeling of random events in physics, biology, economics and the engineering sciences, while also introducing advanced problem-solving techniques in Bayesian statistics, signal processing and rare event analysis. No scientific background in stochastic process theory is needed.
Une introduction aux probabilités et aux processus stochastiques Chapitres thématiques de difficultés diverses L'ouvrage comprend de nombreuses applications, illustrations et exercices corrigés Includes supplementary material: sn.pub/extras
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