Computational Statistics
1st Edition
Published on 1. February 2005
Book
Hardback
448 pages
978-0-471-46124-1 (ISBN)
Description
This expert teaching aid enables readers to develop a multi-faceted and thorough comprehension of modern statistical computing and computational statistics. Backed by many years of classroom experience, the authors lay out a practical understanding of how and why current statistical methods work. The text begins with an essential review of key mathematical and statistical principles. Following this, the text emphasizes those areas that are central to understanding this evolving field and areas where routine application of software often fails to solve complex problems. Additional features include problem sets, datasets, and references on advanced topics. Providing readers with a thorough understanding of contemporary statistical techniques, this text enables readers to apply these methods effectively and to better understand and solve real-life problems.
Reviews / Votes
"Researchers in this field will find this book a very valuable desk-top reference. Instructors will find a wealth of well worked out examples...I strongly recommend this book to anybody interested in statistical computing." (Statistical Methods in Medical Research, October 2006) "Givens and Hoeting are to be commended for attempting a very ambitious task..." (Journal of the American Statistical Association, June 2006) "It is incredibly well written and comprehensive...Congratulations to the authors for constructing an excellent text." (Technometrics, May 2006) "This is an excellent first edition of a text that I hope to use the next time I teach a statistical computing course." (Journal of Statistical Software, April 2005) "This book is well-written and will be helpful for anyone working in the field of computational statistics..." (Statistical Papers, Vol.48, 2007)More details
Series
Edition
1., Auflage
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 23.9 cm
Width: 16 cm
Thickness: 26 mm
Weight
737 gr
ISBN-13
978-0-471-46124-1 (9780471461241)
Schweitzer Classification
Other editions
New editions
Geof H. Givens | Jennifer A. Hoeting
Computational Statistics
Book
12/2012
2nd Edition
Wiley
€132.50
Shipment within 10-20 days
Persons
GEOF H. GIVENS, PHD, and JENNIFER A. HOETING, PHD, are both Associate Professors in the Department of Statistics, Colorado State University. Dr. Givens is a past recipient of the Outstanding Statistical Application Award from the American Statistical Association and a CAREER grant awarded by the National Science Foundation. His interests include wildlife population dynamics modeling, Bayesian methods, computerized face recognition, and bioinformatics. Dr. Hoeting is an award-winning teacher who helps lead large research efforts funded by the U.S. Environmental Protection Agency and the National Science Foundation, and she serves as Associate Editor for the Journal of the American Statistical Association. Her research interests include Bayesian methods, model selection, and spatial statistics.
Content
Preface.
Acknowledgments.
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.
References.
Index.
Acknowledgments.
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.
References.
Index.