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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Lange, Kenneth (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2010.
Edition:2nd ed. 2010.
Series:Springer Texts in Statistics,
Subjects:
Statistics .
Probabilities.
Computer science-Mathematics.
Mathematical statistics.
Biomathematics.
Mathematics-Data processing.
Computer simulation.
Statistical Theory and Methods.
Probability Theory.
Probability and Statistics in Computer Science.
Mathematical and Computational Biology.
Computational Mathematics and Numerical Analysis.
Computer Modelling.
Online Access:Texto Completo
Table of Contents:
  • 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.

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