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,...
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| Главный автор: | |
|---|---|
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Редактирование: | Second. |
| Серии: | Springer Texts in Statistics
|
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Applied probability, Kenneth Lange, 2nd ed., New York, NY, Springer, 2010, 1 vol. (xv, 436 p.), Springer texts in statistics, 978-1-461-42653-0 • Applied Probability, Texte imprimé, 9781441971647 • Applied Probability, Texte imprimé, 9781441971661 |
Оглавление:
- 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.