This updated, popular introduction to probability theory and information theory, only requiring knowledge of basic calculus, contains new material on Markov chains. Topics covered include statistical inference, random walks, statistical mechanics and communications modelling. Examples and exercises illustrate practical applications with detailed solutions to most exercises available online for instructors.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
David Applebaum is a Professor in the Department of Probability and Statistics at the University of Sheffield.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 8,71 für den Versand von USA nach Deutschland
Versandziele, Kosten & DauerEUR 5,77 für den Versand von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & DauerAnbieter: ThriftBooks-Dallas, Dallas, TX, USA
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.35. Artikel-Nr. G052172788XI3N00
Anzahl: 1 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9780521727884_new
Anzahl: Mehr als 20 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. pp. 250 65 Illus. Artikel-Nr. 8320709
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This updated textbook is an excellent way to introduce probability and information theory to new students in mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it starts by building a clear and systematic foundation to the subject: the concept of probability is given particular attention via a simplified discussion of measures on Boolean algebras. The theoretical ideas are then applied to practical areas such as statistical inference, random walks, statistical mechanics and communications modelling. Topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information, and added for this new edition is material on Markov chains and their entropy. Lots of examples and exercises are included to illustrate how to use the theory in a wide range of applications, with detailed solutions to most exercises available online for instructors. Artikel-Nr. 9780521727884
Anzahl: 1 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 2nd edition. 273 pages. 9.50x6.75x0.50 inches. In Stock. Artikel-Nr. x-052172788X
Anzahl: 2 verfügbar