Introduction to Probability,
Edition 1
By George G. Roussas and George G. Roussas
Publication Date:
18 Sep 2006
Description
Roussas's Introduction to Probability features exceptionally clear explanations of the mathematics of probability theory and explores its diverse applications through numerous interesting and motivational examples. It provides a thorough introduction to the subject for professionals and advanced students taking their first course in probability. The content is based on the introductory chapters of Roussas's book, An Intoduction to Probability and Statistical Inference, with additional chapters and revisions.
Key Features
• Written by a well-respected author known for great exposition and readability• Boasts many real world examples• Pedagogy includes chapter summaries, tables of distributions and formulas, and answers to even-numbered exercises
About the author
By George G. Roussas, University of California, Davis and George G. Roussas, University of California, Davis
Table of Contents
1. Some Motivating Examples
2. Some Fundamental Concepts
3. The Concept of Probability and Basic Results
4. Conditional Probability and Independence
5. Numerical Characteristics of a Random Variable
6. Some Special Distributions
7. Joint Probability Density Function of Two Random Variables and Related Quantities
8. Joint Moment Generating Function, Covariance and Correlation Coefficient of Two Random Variables
9. Some Generalizations to k Random Variables, and Three Multivariate Distributions
10. Independence of Random Variables and Some Applications
11. Transformation of Random Variables
12. Two Modes of Convergence, the Weak Law of Large Numbers, the Central Limit Theorem, and Further Results
13. An Overview of Statistical Inference
Appendix
Tables
Some Notation and Abbreviations
Answers to the Even-numbered Exercises
2. Some Fundamental Concepts
3. The Concept of Probability and Basic Results
4. Conditional Probability and Independence
5. Numerical Characteristics of a Random Variable
6. Some Special Distributions
7. Joint Probability Density Function of Two Random Variables and Related Quantities
8. Joint Moment Generating Function, Covariance and Correlation Coefficient of Two Random Variables
9. Some Generalizations to k Random Variables, and Three Multivariate Distributions
10. Independence of Random Variables and Some Applications
11. Transformation of Random Variables
12. Two Modes of Convergence, the Weak Law of Large Numbers, the Central Limit Theorem, and Further Results
13. An Overview of Statistical Inference
Appendix
Tables
Some Notation and Abbreviations
Answers to the Even-numbered Exercises
Book details
ISBN:
9780120885954
Page Count: 400
Retail Price
:
£64.99
Ross, Sheldon, A First Course in Probability, 6-th edition, 2002, ISBN: 0-13-033851-6, Prentice-Hall, 528 pgs, $101.33
Bertsekas & Tsitsiklis, Introduction to Probability, 2002 ISBN: 188652940X, Athena Scientific, 430 pgs, $84.00
Clarke/Disney, Probability and Random Processes: A First Course with Applications, 2E, Wiley, 2001, ISBN: 0471085359, 336 pgs, $98.95
Scheaffer, Richard Introduction to Probability and its Applications, 2E , 1995 ISBN: 0534237908, Duxbury Press, 380 pgs, $111.95
Hogg, R.V. and Tanis, E.A. Probability and Statistical Inference, 6th edition, 2001, ISBN: 0-13-027294-9, Prentice-Hall, $110.67
Milton & Arnold, Introduction to Probability and Statistics : Principles and Applications for Engineering and the Computing Sciences, 2002, ISBN: 007246836X, McGraw-Hill, $126.25
Bertsekas & Tsitsiklis, Introduction to Probability, 2002 ISBN: 188652940X, Athena Scientific, 430 pgs, $84.00
Clarke/Disney, Probability and Random Processes: A First Course with Applications, 2E, Wiley, 2001, ISBN: 0471085359, 336 pgs, $98.95
Scheaffer, Richard Introduction to Probability and its Applications, 2E , 1995 ISBN: 0534237908, Duxbury Press, 380 pgs, $111.95
Hogg, R.V. and Tanis, E.A. Probability and Statistical Inference, 6th edition, 2001, ISBN: 0-13-027294-9, Prentice-Hall, $110.67
Milton & Arnold, Introduction to Probability and Statistics : Principles and Applications for Engineering and the Computing Sciences, 2002, ISBN: 007246836X, McGraw-Hill, $126.25
Audience
Advanced undergraduate and graduate students in mathematics, physics, engineering, statistics, actuarial science, operations research, and computer science.
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