The Cambridge dictionary of probability and its applications

By: Stirzaker, David
Material type: TextTextPublisher: United kingdom Cambridge University Press 2015Description: 419 p.ISBN: 9781107075160Subject(s): Probabilities - Dictionaries | Mathematical statistics - DictionariesDDC classification: 519.2 Summary: Probability comes of age with this, the first dictionary of probability and its applications in English, which supplies a guide to the concepts and vocabulary of this rapidly expanding field. Besides the basic theory of probability and random processes, applications covered here include financial and insurance mathematics, operations research (including queueing, reliability, and inventories), decision and game theory, optimization, time series, networks, and communication theory, as well as classic problems and paradoxes. The dictionary is reliable, stable, concise, and cohesive. Each entry provides a rigorous definition, a sketch of the context, and a reference pointing the reader to the wider literature. Judicious use of figures makes complex concepts easier to follow without oversimplifying. As the only dictionary on the market, this will be a guiding reference for all those working in, or learning, probability together with its applications. 1. More than 2900 terms, grouped into 2200 entries – from the Abelian sandpile model to the Z-transform 2. Highly regarded author with a well-founded reputation for quality 3. Rich cross-referencing reveals connections between concepts (http://www.cambridge.org/us/academic/subjects/statistics-probability/probability-theory-and-stochastic-processes/cambridge-dictionary-probability-and-its-applications?format=HB)
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Slot 1402 (0 Floor, East Wing) Non-fiction 519.2 S8C2 (Browse shelf) Available 192679

Probability comes of age with this, the first dictionary of probability and its applications in English, which supplies a guide to the concepts and vocabulary of this rapidly expanding field. Besides the basic theory of probability and random processes, applications covered here include financial and insurance mathematics, operations research (including queueing, reliability, and inventories), decision and game theory, optimization, time series, networks, and communication theory, as well as classic problems and paradoxes. The dictionary is reliable, stable, concise, and cohesive. Each entry provides a rigorous definition, a sketch of the context, and a reference pointing the reader to the wider literature. Judicious use of figures makes complex concepts easier to follow without oversimplifying. As the only dictionary on the market, this will be a guiding reference for all those working in, or learning, probability together with its applications.

1. More than 2900 terms, grouped into 2200 entries – from the Abelian sandpile model to the Z-transform
2. Highly regarded author with a well-founded reputation for quality
3. Rich cross-referencing reveals connections between concepts

(http://www.cambridge.org/us/academic/subjects/statistics-probability/probability-theory-and-stochastic-processes/cambridge-dictionary-probability-and-its-applications?format=HB)

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