An introductory text providing the reader with a thorough background to the rich world of applications of stochastic processes.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Ariel Amir is a Professor at Harvard University, Massachusetts. His research centers on the theory of complex systems.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Books From California, Simi Valley, CA, USA
hardcover. Zustand: Very Good. Artikel-Nr. mon0003707656
Anzahl: 2 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9781108479523_new
Anzahl: Mehr als 20 verfügbar
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Artikel-Nr. V9781108479523
Anzahl: Mehr als 20 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 233 pages. 9.75x6.75x0.75 inches. In Stock. Artikel-Nr. x-1108479529
Anzahl: 2 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion - includes Markov processes and random walks, Langevin and Fokker-Planck equations, noise, generalized central limit theorem and extreme values statistics, random matrix theory and percolation theory. Artikel-Nr. 9781108479523
Anzahl: 1 verfügbar