Counterexamples in Probability (Paperback)

Jordan M. Stoyanov

ISBN 10: 0486499987 / ISBN 13: 9780486499987

Editore: Dover Publications Inc., New York, 2014

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Paperback. Most mathematical examples illustrate the truth of a statement; conversely, counterexamples demonstrate a statement's falsity if changing the conditions. Mathematicians have always prized counterexamples as intrinsically enjoyable objects of study as well as valuable tools for teaching, learning, and research. This third edition of the definitive book on counterexamples in probability and stochastic processes presents the author's revisions and corrections in addition to a substantial new appendix. Suitable as a supplementary source for advanced undergraduates and graduate courses in the field of probability and stochastic processes, this volume features a wide variety of topics that are challenging in both content and detail. The text consists of four chapters and twenty-five sections. Each section begins with short introductory notes of basic definitions and main results. Counterexamples related to the main results follow, along with motivation for questions and counterstatements that range in difficulty. A familiarity with basic notions and results in probability and stochastic processes is assumed, and a chapter of supplementary remarks provides a wealth of information about original sources as well as references for further studies. Most mathematical examples illustrate the truth of a statement; counterexamples demonstrate a statement's falsity. This third edition features the author's revisions and corrections plus a substantial new appendix. 2012 edition. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780486499987

Dati bibliografici

Titolo: Counterexamples in Probability (Paperback)

Casa editrice: Dover Publications Inc., New York

Data di pubblicazione: 2014

Legatura: Paperback

Condizione: new

Edizione: terza edizione

Descrizione articolo

Riassunto:

Mentre la maggior parte degli esempi matematici illustrano la verità di un'affermazione, i controesempi dimostrano la falsità di un'affermazione. Argomenti di studio piacevoli, i controesempi sono strumenti preziosi per l'insegnamento e l'apprendimento. Il libro definitivo sull'argomento per quanto riguarda la probabilità, questa terza edizione presenta le revisioni e le correzioni dell'autore, oltre a una nuova appendice sostanziale.

Informazioni sull?autore:

Formerly a Senior Research Fellow at the Bulgarian Academy of Sciences and a Professor at the University of Sofia, Jordan Stoyanov is on the faculty of the School of Mathematics and Statistics, University of Newcastle, United Kingdom.