4 edition of **Counterexamples in probability** found in the catalog.

- 91 Want to read
- 12 Currently reading

Published
**1987**
by Wiley in Chichester
.

Written in English

- Probabilities.,
- Stochastic processes.

**Edition Notes**

Statement | Jordan M. Stoyanov. |

Series | Wiley series in probability and mathematical statistics |

Classifications | |
---|---|

LC Classifications | QA273 |

The Physical Object | |

Pagination | xxiii, 313p. : |

Number of Pages | 313 |

ID Numbers | |

Open Library | OL21474421M |

ISBN 10 | 0471916498 |

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. 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. edition"-- Read More "While most mathematical examples illustrate the truth of a statement, counterexamples demonstrate a .

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. edition"--Most mathematical examples illustrate the truth of a statement; conversely, counterexamples demonstrate a statement's falsity if changing the : Jordan M Stoyanov. Jordan M. Stoyanov: Counterexamples in Probability. Second edition, Wiley, Chichester , ISBN Michael Copobianco & John Mulluzzo () Examples and Counterexamples in Graph Theory, Elsevier North-Holland ISBN

Counterexamples Analysis, Used. You Searched For: Counterexamples in Analysis This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. Counterexamples in Probability and Real Analysis. The title is largely self-explanatory. A review might comment on the level and type of counterexamples. They are not elementary, nor are they about the paradoxes of probability — especially of the infinite. A common type here consists of examples that show certain conditions in the usual statement of a theorem cannot be relaxed.

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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/5(11).

Counterexamples (in the mathematical sense) are powerful tools of mathematical theory. This book covers counterexamples from probability theory and stochastic processes.

This new expanded edition includes many examples and the latest research results. The author is regarded as one of the foremost experts in the field.

Contains numbers examples.4/5(1). Counterexamples (in the mathematical sense) are powerful tools of mathematical theory. This book covers counterexamples from probability theory and stochastic processes.

This new expanded edition includes many examples and the latest research results. The author is regarded as one of the foremost experts in the field. Contains numbers examples/5(2). 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, learning, and research. The definitive book on the subject in regards to probability and stochastic processes, this third edition features the author's revisions and corrections plus a substantial.

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.

Get this from a library. Counterexamples in probability. [Ĭordan Stoi︠a︡nov] -- Following the success of the first edition, widely regarded as the classic reference work on the subject, Professor Stoyanov has expanded his work to include many new counterexamples and the latest. Counterexamples in Probability and Real Analysis book.

Read reviews from world’s largest community for readers. A counterexample is any example or result 5/5(3). This volume contains six early mathematical works, four papers on fiducial inference, five on transformations, and twenty-seven on a miscellany of topics in mathematical statistics.

Several previously unpublished works are included.5/5(1). 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 : Dover Publications.

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 examples related to both the theory and application of mathematics.5/5(1).

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/5(17). Counterexamples in probability. [Ĭordan Stoi︠a︡nov] -- "While most mathematical examples illustrate the truth of a statement, counterexamples demonstrate a statement's falsity.

counterexamples are valuable tools for teaching and learning. The definitive book on the subject in regards to probability, this third edition features the. 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 examples related to both the theory and application of mathematics.

Buy Counterexamples in Probability: Third Edition (Dover Books on Mathematics) 3rd Revised edition by Stoyanov, Jordan (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders/5(17).

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/5(7).

The answer is actually no, which has serious implications for multiple inference testing in statistics. Stoyanov’s text is a compilation of many good counterexamples in probability, many of which are surprising and subtle, but with very large implications for application in statistics and machine learning.

There are some drawbacks, though. Counterexamples (in the mathematical sense) are powerful tools of mathematical theory. This book covers counterexamples from probability theory and stochastic processes. This new expanded edition includes many examples and the latest research results. The author is regarded as one of the foremost experts in the field.

Contains numbers examples. Counterexamples in Probability And Statistics - CRC Press Book This volume contains six early mathematical works, four papers on fiducial inference, five on transformations, and twenty-seven on a miscellany of topics in mathematical statistics.

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Counterexamples in Probability | 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.

$\bullet$ Counterexamples in Analysis, Bernard R. Gelbaum, John M. H. Olmsted $\bullet$ Counterexamples in Topology, Lynn Arthur Steen, J. Arthur Seebach Jr. $\bullet$ Counterexamples in Probability and Statistics, Joseph P. Romano, A.F. Siegel $\bullet$ Counterexamples in Probability and Real Analysis, Gary L.

Wise and Eric B. Hall.These counterexamples deal mostly with the part of analysis known as "real variables." The 1st half of the book discusses the real number system, functions and limits, differentiation, Riemann integration, sequences, infinite series, more.

The 2nd half examines functions of 2 variables, plane sets, area, metric and topological spaces, and function spaces.

edition. Counterexamples (in the mathematical sense) are powerful tools of mathematical theory. This book covers counterexamples from probability theory and stochastic processes. This new expanded edition includes many examples and the latest research results.

The author is regarded as one of the foremost experts in the field. Contains numbers :