Applied Probability
Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. It can serve as a textbook for graduate students in applied mathematics, biostatistics, computational biology,...
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York,
2010.
|
| Έκδοση: | Second. |
| Σειρά: | Springer Texts in Statistics,
|
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Basic Notions of Probability Theory
- Calculation of Expectations
- Convexity, Optimization, and Inequalities
- Combinatorics
- Combinatorial Optimization
- Poisson Processes
- Discrete-Time Markov Chains
- Continuous-Time Markov Chains
- Branching Processes
- Martingales
- Diffusion Processes
- Asymptotic Methods
- Numerical Methods
- Poisson Approximation
- Number Theory
- Appendix: Mathematical Review.