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Introduction to Probability

Probability Examples c-1

Introduction to Probability
4,5 (28 vurderinger) Les omtaler
ISBN: 978-87-7681-515-8
1 utgave
Sider : 61
  • Pris: 129,00 kr
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  • Pris: £13,99
  • Pris: ₹250
  • Pris: $13,99
  • Pris: 129,00 kr
  • Pris: 129,00 kr

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Om boken

  1. Vurderinger
  2. Beskrivelse
  3. Innledning
  4. Innhold

Vurderinger

Dorothy C. Kershaw ★★★★★

Probability in its nature is already fun and challenging, and this book made it more appealing. I enjoyed the strategy in games. :) After reading this, it made me feel I'm ahead of others.

Beskrivelse

In this book you find the basic mathematics that is needed by engineers and university students . The author will help you to understand the meaning and function of mathematical concepts. The best way to learn it, is by doing it, the exercises in this book will help you do just that.

Topics as Elementary probability calculus, density functions and stochastic processes are illustrated.

This book requires knowledge of Calculus 1 and Calculus 2.

Innledning

This is the first book of examples from the Theory of Probability. This topic is not my favourite, however, thanks to my former colleague, Ole Jørsboe, I somehow managed to get an idea of what it is all about. The way I have treated the topic will often diverge from the more professional treatment. On the other hand, it will probably also be closer to the way of thinking which is more common among many readers, because I also had to start from scratch. Unfortunately errors cannot be avoided in a first edition of a work of this type. However, the author has tried to put them on a minimum, hoping that the reader will meet with sympathy the errors which do occur in the text.

Leif Mejlbro
25th October 2009

Innhold

  1. Introduction
  2. Some theoretical background
  3. Set theory
  4. Sampling with and without replacement
  5. Playing cards
  6. Miscellaneous
  7. Binomial distribution
  8. Lotto
  9. Huyghens’ exercise
  10. Balls in boxes
  11. Conditional probabilities, Bayes’s formula
  12. Stochastic independency/dependency
  13. Probabilities of events by set theory
  14. The rencontre problem and similar examples
  15. Strategy in games
  16. Bertrand’s paradox
  17. Index
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