Probably not future prediction using probability and statistical inference

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. T...

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Bibliographic Details
Other Authors: Dworsky, Lawrence N., 1943- author (author)
Format: eBook
Language:Inglés
Published: Hoboken, New Jersey : Wiley 2019.
Edition:Second edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630995106719
Table of Contents:
  • Introduction
  • An introduction to probability
  • Probability distribution functions and some math basics
  • Building a bell
  • Random walks
  • Life insurance
  • The binomial theorem
  • Pseudorandom numbers and Monte-Carlo simulations
  • Some gambling games in detail
  • Scheduling and waiting
  • Combined and conditional probabilities
  • Bayesian statistics
  • Estimation problems
  • Paradoxes
  • Benford's law
  • Networks, infectious diseases and chain letters
  • Introduction to frequentist statistical inference
  • Statistical mechanics and thermodynamics
  • Chaos and quanta
  • Appendix.