Textbook on calculational methodology in mathematical analysis and in applied probability - covers simulation and model building, etc., and stresses the impact of modern computer technology. Graphs and references.
Probability and statistics with R
by Ugarte, María Dolores, Militino, Ana F., Arnholt, Alan
This book presents treatments of data analysis using parametric and nonparametyric techniques. It links statistical concepts with R procedures, anabling the application of the language to the vast world of statistics.
"Probability and Statistics with R shows how to solve various statistical problems using both parametric and nonparametric techniques via the open source software R. It provides numerous real-world examples, carefully explained proofs, end-of-chapter problems, and illuminating g…
Some probability problems are so difficult that they stump the smartest mathematicians. This text shows readers how to get numerical answers to difficult probability problems without having to solve complicated mathematical questions.
Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rol…
Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rol…