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Probably not : future prediction using probability and statistical inference / Lawrence N. Dworsky.

By: Material type: TextTextPublisher: Hoboken, NJ : Wiley, 2020Edition: Second editionDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119518136
  • 111951813X
  • 9781119518129
  • 1119518121
  • 9781119518143
  • 1119518148
Subject(s): Genre/Form: Additional physical formats: Print version:: Probably notDDC classification:
  • 519.2/87 23
LOC classification:
  • QA279.2
Online resources:
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.
Summary: An introduction to probability and statistics at an introductory level.
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An introduction to probability and statistics at an introductory level.

Includes index.

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.

Description based on print version record and CIP data provided by publisher; resource not viewed.

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