Title Details

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.

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. 

"I would have no hesitation recommending it to working statisticians and quantitative empirical scientists." (Journal of Statistical Software, March 2007)

"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)