With new chapters on ODEs and Markov chains, the second edition of this highly recommended, best-selling book introduces scientific programming and stochastic modelling in a clear, practical, and thorough way. Readers learn programming by experimenting with the provided R code and data. Requiring no prior knowledge of programming or probability, the book shows them how to turn algorithms into code. It includes case studies that demonstrate the simulation techniques as well as numerous student projects and exercises.
Inhaltsverzeichnis
Programming. Numerical Techniques. Probability and Statistics. Simulation. Glossary of R Commands. Programs and Functions Developed in the Text. Index.
