eBook PDF Download Digital Library
Author: A.F. Siegel
Publisher: Routledge
Published: 2017-11-22
Total Pages: 387
ISBN-13: 1351457632
DOWNLOAD EBOOK →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 Several previously unpublished works are included.
Author: Jordan M. Stoyanov
Publisher: Courier Corporation
Published: 2014-01-15
Total Pages: 368
ISBN-13: 0486499987
DOWNLOAD EBOOK →"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"--
Author: Jordan M. Stoyanov
Publisher: Courier Corporation
Published: 2013-09-18
Total Pages: 404
ISBN-13: 0486315932
DOWNLOAD EBOOK →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.
Author: A.F. Siegel
Publisher: Routledge
Published: 2017-11-22
Total Pages: 328
ISBN-13: 1351457640
DOWNLOAD EBOOK →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 Several previously unpublished works are included.
Author: Joseph P. Romano
Publisher:
Published: 1986
Total Pages:
ISBN-13: 9781315140421
DOWNLOAD EBOOK →Author: Gary L. Wise
Publisher: Oxford University Press
Published: 1993-10-07
Total Pages: 224
ISBN-13: 9780195361308
DOWNLOAD EBOOK →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.
Author: A. A. Sveshnikov
Publisher: Courier Corporation
Published: 2012-04-30
Total Pages: 512
ISBN-13: 0486137562
DOWNLOAD EBOOK →Approximately 1,000 problems — with answers and solutions included at the back of the book — illustrate such topics as random events, random variables, limit theorems, Markov processes, and much more.
Author: Jordan M. Stoyanov
Publisher: Wiley
Published: 1997-07-14
Total Pages: 0
ISBN-13: 9780471965381
DOWNLOAD EBOOK →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.
Author: Bernard R. Gelbaum
Publisher: Courier Corporation
Published: 2012-07-12
Total Pages: 224
ISBN-13: 0486134911
DOWNLOAD EBOOK →These counterexamples deal mostly with the part of analysis known as "real variables." Covers the real number system, functions and limits, differentiation, Riemann integration, sequences, infinite series, functions of 2 variables, plane sets, more. 1962 edition.
Author: Rick Durrett
Publisher: Cambridge University Press
Published: 2010-08-30
Total Pages:
ISBN-13: 113949113X
DOWNLOAD EBOOK →This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.
