ISBN: 9780195070682

A counterexample is any example or result that is the opposite of one''s intuition or to commonly held beliefs. Counterexamples can have great educational value in illuminating complex to… Mehr…

A counterexample is any example or result that is the opposite of one''s intuition or to commonly held beliefs. Counterexamples can have great educational value in illuminating complex topics that are difficult to explain in a rigidly logical, written presentation. For example, ideas inmathematical sciences that might seem intuitively obvious may be proved incorrect with the use of a counterexample. This monograph concentrates on counterexamples for use at the intersection of probability and real analysis, which makes it unique among such treatments. The authors argueconvincingly that probability theory cannot be separated from real analysis, and this book contains over 300 examples related to both the theory and application of mathematics. Many of the examples in this collection are new, and many old ones, previously buried in the literature, are now accessiblefor the first time. In contrast to several other collections, all of the examples in this book are completely self-contained-no details are passed off to obscure outside references. Students and theorists across fields as diverse as real analysis, probability, statistics, and engineering will wanta copy of this book. | Counterexamples in Probability and Real Analysis by Gary L. Wise Hardcover | Indigo Chapters Books > Science & Nature > Math & Physics > Mathematics > Probability & Statistics P10117, Gary L. Wise<

ISBN: 9780195070682

A counterexample is any example or result that is the opposite of one's intuition or to commonly held beliefs. Counterexamples can have great educational value in illuminating complex to… Mehr…

A counterexample is any example or result that is the opposite of one's intuition or to commonly held beliefs. Counterexamples can have great educational value in illuminating complex topics that are difficult to explain in a rigidly logical, written presentation. For example, ideas in mathematical sciences that might seem intuitively obvious may be proved incorrect with the use of a counterexample. This monograph concentrates on counterexamples for use at the intersection of probability and real analysis, which makes it unique among such treatments. The authors argue convincingly that probability theory cannot be separated from real analysis, and this book contains over 300 examples related to both the theory and application of mathematics. Many of the examples in this collection are new, and many old ones, previously buried in the literature, are now accessible for the first time. In contrast to several other collections, all of the examples in this book are completely self-contained--no details are passed off to obscure outside references. Students and theorists across fields as diverse as real analysis, probability, statistics, and engineering will want a copy of this book. Books, [PU: Oxford University Press]<

1993, ISBN: 9780195070682

[ED: Gebunden], [PU: OXFORD UNIV PR], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ideas in mathematical science that might seem intuit… Mehr…

[ED: Gebunden], [PU: OXFORD UNIV PR], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ideas in mathematical science that might seem intuitively obvious may be proved incorrect with the use of their counterexamples. This monograph concentrates on, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Hardcover, 224, [GW: 467g], New, Banküberweisung, PayPal<

ISBN: 9780195070682

Hardback, [PU: Oxford University Press Inc], Ideas in mathematical science that might seem intuitively obvious may be proved incorrect with the use of their counterexamples. This monograp… Mehr…

Hardback, [PU: Oxford University Press Inc], Ideas in mathematical science that might seem intuitively obvious may be proved incorrect with the use of their counterexamples. This monograph concentrates on counterexamples utilized at the intersection of probability and real analysis., Real Analysis, Real Variables<