Counterexamples in probability / Jordan M. Stoyanov, formerly at: Newcastle University, Newcastle upon Tyne, United Kingdom, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil, Northern Kentucky University, Highland Heights, Kentucky, USA, Université Joseph Fourier, Grenoble, France, Miami University, Oxford, Ohio, USA, Queen's University, Kingston, Ontario, Canada, Università di Padova, Padova, Italy, Concordia University, Montréal, Québec, Canada, Sofia University St. Kliment Ohridski, Sofia, Bulgaria, Bulgarian Academy of Sciences, Sofia, Bulgaria.
Material type:
TextSeries: Dover books on mathematicsPublisher: Mineola, New York : Dover Publications, Inc., 2013Copyright date: ©1987Edition: Third editionDescription: xxx, 368 pages : illustrations ; 22 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780486499987; 0486499987Subject(s): Probabilities | Stochastic processes | MATHEMATICS -- Probability & Statistics -- General | Probabilities | Stochastic processesDDC classification: 519.2 LOC classification: QA273 | .S7535 2013Other classification: MAT029000 Summary: "While most mathematical examples illustrate the truth of a statement, counterexamples demonstrate a statement's falsity. Enjoyable topics of study, counterexamples are valuable tools for teaching and learning. The definitive book on the subject in regards to probability, this third edition features the author's revisions and corrections plus a substantial new appendix. 2013 edition"-- Provided by publisher.
| Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
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Female Library | QA273 .S7535 2013 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000197904 | |
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Books
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Main Library | QA273 .S7535 2013 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000197911 |
"While most mathematical examples illustrate the truth of a statement, counterexamples demonstrate a statement's falsity. Enjoyable topics of study, counterexamples are valuable tools for teaching and learning. The definitive book on the subject in regards to probability, this third edition features the author's revisions and corrections plus a substantial new appendix. 2013 edition"-- Provided by publisher.
Includes bibliographical references (pages 317-364) and index.
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