Counterexamples in Probability

Counterexamples in Probability
Author: Jordan M. Stoyanov
Publisher: Courier Corporation
Total Pages: 404
Release: 2013-09-18
Genre: Mathematics
ISBN: 0486315932


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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.


Counterexamples in Probability
Language: en
Pages: 404
Authors: Jordan M. Stoyanov
Categories: Mathematics
Type: BOOK - Published: 2013-09-18 - Publisher: Courier Corporation

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Most mathematical examples illustrate the truth of a statement; counterexamples demonstrate a statement's falsity. This third edition features the author's revi
Counterexamples in Probability And Statistics
Language: en
Pages: 387
Authors: A.F. Siegel
Categories: Mathematics
Type: BOOK - Published: 2017-11-22 - Publisher: Routledge

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This volume contains six early mathematical works, four papers on fiducial inference, five on transformations, and twenty-seven on a miscellany of topics in mat
Counterexamples in Probability and Real Analysis
Language: en
Pages: 224
Authors: Gary L. Wise
Categories: Mathematics
Type: BOOK - Published: 1993-10-07 - Publisher: Oxford University Press

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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
Counterexamples in Probability And Statistics
Language: en
Pages: 328
Authors: A.F. Siegel
Categories: Mathematics
Type: BOOK - Published: 2017-11-22 - Publisher: Routledge

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This volume contains six early mathematical works, four papers on fiducial inference, five on transformations, and twenty-seven on a miscellany of topics in mat
Counterexamples in Probability
Language: en
Pages: 0
Authors: Jordan M. Stoyanov
Categories: Mathematics
Type: BOOK - Published: 1997-07-14 - Publisher: Wiley

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