Published by Wiley & Sons, Incorporated, John, 2008
ISBN 10: 0470184019 ISBN 13: 9780470184011
Language: English
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Published by Wiley & Sons, Incorporated, John, 2008
ISBN 10: 0470184019 ISBN 13: 9780470184011
Language: English
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Good. Used book that is in clean, average condition without any missing pages.
Seller: Housing Works Online Bookstore, New York, NY, U.S.A.
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Published by Wiley & Sons, Incorporated, John, 2008
ISBN 10: 0470184019 ISBN 13: 9780470184011
Language: English
Seller: Better World Books Ltd, Dunfermline, United Kingdom
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paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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Published by Wiley-Blackwell 2019-09-20, 2019
ISBN 10: 1119518105 ISBN 13: 9781119518105
Language: English
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Published by John Wiley and Sons Ltd, 2019
ISBN 10: 1119518105 ISBN 13: 9781119518105
Language: English
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Published by John Wiley & Sons Inc, 2019
ISBN 10: 1119518105 ISBN 13: 9781119518105
Language: English
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Add to basketPaperback. Condition: Brand New. 2nd edition. 333 pages. 9.25x6.25x0.50 inches. In Stock.
Published by John Wiley & Sons Inc, 2019
ISBN 10: 1119518105 ISBN 13: 9781119518105
Language: English
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Taschenbuch. Condition: Neu. Neuware - A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical levelWritten in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book's illustrative examples reveal how we are living in a statistical world, what we can expect, what we really know based upon the information at hand and explains when we only think we know something.The author introduces the principles of probability and explains probability distribution functions. The book covers combined and conditional probabilities and contains a new section on Bayes Theorem and Bayesian Statistics, which features some simple examples including the Presecutor's Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford's Law that explores measuring the compliance and financial fraud detection using Benford's Law. This book:\* Contains relevant mathematics and examples that demonstrate how to use the concepts presented\* Features a new chapter on Benford's Law that explains why we find Benford's law upheld in so many, but not all, natural situations\* Presents updated Life insurance tables\* Contains updates on the Gantt Chart example that further develops the discussion of random events\* Offers a companion site featuring solutions to the problem sets within the bookWritten for mathematics and statistics students and professionals, the updated edition of Probably Not: Future Prediction Using Probability and Statistical Inference, Second Edition combines the mathematics of probability with real-world examples.LAWRENCE N. DWORSKY, PhD, is a retired Vice President of the Technical Staff and Director of Motorola's Components Research Laboratory in Schaumburg, Illinois, USA. He is the author of Introduction to Numerical Electrostatics Using MATLAB from Wiley.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 2nd edition. 333 pages. 9.25x6.25x0.50 inches. In Stock. This item is printed on demand.