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Book synopsis

1 BASIC CONCEPTS 1. Probability and Relative Frequency 2. Rudiments of Combinatorial Analysis Problems 2 COMBINATION OF EVENTS 3. Elementary Events. The Sample Space 4. The Addition Law for Probabilities Problems 3 DEPENDENT EVENTS 5. Conditional Probability 6. Statistical Independence Problems 4 RANDOM VARIABLES 7. Discrete and Continuous Random Variables. Distribution Functions 8. Mathematical Expectation 9. Chebyshev's Inequality. The Variance and Correlation Coefficient Problems 5 THREE IMPORTANT PROBABILITY DISTRIBUTIONS 10. Bernoulli Trials. The Binomial and Poisson Distributions 11. The De Moivre-Laplace Theorem. The Normal Distribution Problems 6 SOME LIMIT THEOREMS 12. The Law of Large Numbers 13. Generating Functions. Weak Convergence of Probability Distributions 14. Characteristic Functions. The Central Limit Theorem Problems 7 MARKOV CHAINS 15. Transition Probabilities 16. Persistent and Transient States 17. Limiting Probabilities. Stationary Distributions Problems 8 CONTINUOUS MARKOV PROCESSES 18. Definitions. The Sojourn Time 19. The Kolmogorov Equations 20. More on Limiting Probabilities. Erlang's Formula Problems APPENDIX 1 INFORMATION THEORY APPENDIX 2 GAME THEORY APPENDIX 3 BRANCHING PROCESSES APPENDIX 4 PROBLEMS OF OPTIMAL CONTROL BIBLIOGRAPHY INDEX

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Probability Theory
• Subtitle: A Concise Course
• Author: Iu.A. Rozanov, Richard A. Silverman
• Language: English
• Binding: Paperback
• Number of pages: 148
• EAN: 9780486635446
• ISBN: 0486635449
• ID: 02569515
• Publisher: Dover Publications Inc.
• Weight: 208 g
• Dimensions: 210 × 141 × 8 mm
• Date of publishing: 21. August 1978

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