Probability Demystified 2/E
Autor Allan Blumanen Limba Engleză Paperback – 16 mar 2012
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Stack the odds in your favor for mastering probability
Don't leave your knowledge of probability to chance. Instead, turn to Probability Demystified, Second Edition, for learning fundamental concepts and theories step-by-step.This practical guide eases you into the subject of probability using familiar items such as coins, cards, and dice. As you progress, you will master concepts such as addition and multiplication rules, odds and expectation, probability distributions, and more. You'll learn the relationship between probability and normal distribution, as well as how to use the recently developed Monte Carlo method of simulation. Detailed examples make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key ideas.
It's a no-brainer! You'll learn about:
- Classical probability
- Game theory
- Actuarial science
- Addition rules
- Bayes' theorem
- Odds and expectation
- Binomial distribution
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Specificații
ISBN-13: 9780071780971
ISBN-10: 0071780971
Pagini: 272
Ilustrații: Illustrations
Dimensiuni: 180 x 241 x 15 mm
Greutate: 0.36 kg
Ediția:Revised
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
ISBN-10: 0071780971
Pagini: 272
Ilustrații: Illustrations
Dimensiuni: 180 x 241 x 15 mm
Greutate: 0.36 kg
Ediția:Revised
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
Cuprins
Ch 1 – Basic Concepts
Ch 2 – Sample Spaces
Ch 3 – The Addition Rules
Ch 4 – The Multiplication Rules
Ch 5 – Odds and Expectation
Ch 6 – The Counting Rules
Ch 7 – The Binomial Distribution
Ch 8 –Other Probability Distributions
Ch 9 – The Normal Distribution
Ch 10 – Simulation
Ch 11 — Game Theory
Ch 12 – Actuarial Science
Ch 2 – Sample Spaces
Ch 3 – The Addition Rules
Ch 4 – The Multiplication Rules
Ch 5 – Odds and Expectation
Ch 6 – The Counting Rules
Ch 7 – The Binomial Distribution
Ch 8 –Other Probability Distributions
Ch 9 – The Normal Distribution
Ch 10 – Simulation
Ch 11 — Game Theory
Ch 12 – Actuarial Science