This one- or two-term calculus-based basic probability text is written for majors in mathematics, physical sciences, engineering, statistics, actuarial science, business and finance, operations research, and computer science. 2096 examples and exercises have been included.
This one- or two-term calculus-based basic probability text is written for majors in mathematics, physical sciences, engineering, statistics, actuarial science, business and finance, operations research, and computer science. 2096 examples and exercises have been included.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Saeed Ghahramani is a Professor of Mathematics and Dean Emeritus of the College of Arts and Sciences at Western New England University. He earned his Ph.D. in mathematics, specializing in stochastic processes, from the University of California at Berkeley. He has been recognized with teaching awards from both Johns Hopkins University and Towson University. His research primarily centers around applied probability, stochastic processes, and queuing theory.
Inhaltsangabe
1. Axioms of Probability 2. Combinatorial Methods 3. Conditional Probability and Independence 4. Distribution Functions and Discrete Random Variables 5. Continuous Random Variables 6. Special Discrete Distributions 7. Special Continuous Distributions 8. Understanding Relationships: Covariance, Correlations, and Conditional Distributions 9. More Bivariate and Multivariate Topics 10. Inequalities and Limit Theorems Appendix Tables Answers to Odd-Numbered Exercises
1. Axioms of Probability 2. Combinatorial Methods 3. Conditional Probability and Independence 4. Distribution Functions and Discrete Random Variables 5. Continuous Random Variables 6. Special Discrete Distributions 7. Special Continuous Distributions 8. Understanding Relationships: Covariance, Correlations, and Conditional Distributions 9. More Bivariate and Multivariate Topics 10. Inequalities and Limit Theorems Appendix Tables Answers to Odd-Numbered Exercises
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