| Description |
xix, 418 pages : illustrations ; 25 cm |
| Series |
Wiley series in probability and statistics |
|
Wiley series in probability and statistics.
|
| Contents |
1. Review -- 2. Optimization and solving nonlinear equations -- 3. Combinatorial optimization -- 4. EM optimization methods -- 5. Numerical integration -- 6. Simulation and Monte Carlo integration -- 7. Markov chain Monte Carlo -- 8. Advanced topics in MCMC -- 9. Bootstrapping -- 10. Nonparametric density estimation -- 11. Bivariate smoothing -- 12. Multivariate smoothing |
| Summary |
"This comprehensive introduction enables readers to develop a multifaceted and thorough knowledge of modern statistical computing and computational statistics. Backed by many years of classroom experience, the authors help readers gain a practical understanding of how and why modern statistical methods work, enabling readers to apply these methods effectively. Detailed examples are drawn from diverse fields such as bioinformatics, ecology, medicine, computer vision, and stochastic finance." "Computational Statistics is recommended for graduate-level courses in statistics, computer science, mathematics, engineering, and other quantitative sciences. Advanced undergraduate students can also use this text to learn the basics and for deeper study as they progress. Chapters are written to stand independently, allowing instructors to build their own courses by selecting topics. Statisticians and quantitative empirical scientists will refer to this desktop reference often. By providing readers with a thorough understanding of contemporary statistical techniques, the book gives readers a solid foundation for contributing their own ideas and finding new applications for this dynamic field."--BOOK JACKET |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references (pages 379-406) and index |
| Subject |
Mathematical statistics -- Data processing.
|
|
Statistics -- Data processing.
|
| Author |
Hoeting, Jennifer A. (Jennifer Ann), 1966-
|
| LC no. |
2005297238 |
| ISBN |
0471461245 cased |
|
