Téléchargez le livre : Probably Not

Probably Not

Future Prediction Using Probability and Statistical Inference

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Éditeur :

Wiley


Paru le : 2019-07-29



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Description

A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level
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.
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.
Pages
352 pages
Collection
n.c
Parution
2019-07-29
Marque
Wiley
EAN papier
9781119518105
EAN PDF
9781119518136
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
4833 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
98,06 €
EAN EPUB
9781119518129
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
9994 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
98,06 €

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