Illustrating the wide range and power of the subject, the topics covered in this introduction to probability include conditional probability, independence, random variables, generating functions, and an introduction to Markov chains.
|Publisher:||Cambridge University Press|
|Product dimensions:||6.97(w) x 9.96(h) x 1.42(d)|
Table of Contents1. Probability; 2. Conditional probability and independence; 3. Counting; 4. Random variables: distribution and expectation; 5. Random vectors: independence and dependence; 6. Generating functions and their applications; 7. Continuous random variables; 8. Jointly continuous random variables; 9. Markov chains; Appendix.