|"The authors write beautifully|
|-David W. Scott, Rice University, past editor of Journal of Computational and Graphical Statistics and Journal of Computational Statistics|
have adopted your book as a text for my class. I have taught different
versions of this course since 1989 and your book covers just the right
material for me with lots of real examples. I am enjoying it a lot.
Holmes, Stanford University, Director of the Stanford
Mathematical and Computational Sciences Interdisciplinary Program|
me say right away that I absolutely love your "Computational
Statistics" book. I thought it was a major intellectual accomplishment
when I read the first edition a few years ago, and I placed a pre-order
for the 2nd edition the moment I heard it was going to be released...
This is a crowded field with many books on these topics, but you have
managed to outperform even full book-length treatments of [each of] these topics,
with an excellent balance of practical advice and theoretical setup."
|"This book will be a terrific reference for workers in the field"|
|-Michael Newton, Univ. of Wisconsin, ASA Fellow and 2004 COPSS Presidents' Award recipient|
|"This book includes more of the topics that I think are crucial for statistical computing than any other text I've encountered"|
|--Kate Cowles, Univ. of Iowa|
book includes a solid theoretical background at the introductory
graduate level, practical advice, application to real datasets, .... It
covers a large selection of topics very well. ...This is an excellent
first edition of a text that I hope to use the next time I teach a
statistical computing course."|
|--Duncan Murdoch, Univ. of Western Ontario, reviewing the first edition for Journal of Statistical Software|
- Email us about 260 pages of lecture slides covering selected topics. Of course, we also have the datasets and R code.
|Contributions from readers:
- We invite readers to send us new homework problems and datasets via email. These may be added to this website. You will be credited if we use them in a future edition.
|Short courses for scientists, statisticians, and professionals: