Probably Not: Future Prediction Using Probability and Statistical Inference, Second EditionКНИГИ » НАУКА И УЧЕБА
Название: Probably Not: Future Prediction Using Probability and Statistical Inference, Second Edition Автор: Lawrence N. Dworsky Издательство: John Wiley & Sons Год: 2019 Страниц: 350 Размер: 10.71 МБ Формат: PDF Язык: English
Written 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 book
Written 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.
Probability and Bayesian Modeling Название: Probability and Bayesian Modeling Автор: Jim Albert, Jingchen Hu Издательство: Chapman and Hall/CRC Год: 2020 Страниц: 553 Язык:...
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Probably Not: Future Prediction Using Probability and Statistical Inference, Second Edition 
