for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, BlackBerry ...

New to eBooks.com?

Learn more

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives by Andrew Gelman
Add to cart
US$ 140.00
(If any tax is payable it will be calculated and shown at checkout.)
"I congratulate the editors on this volume; it really is an essential and very enjoyable journey with Don Rubin's statistical family." (Biometrics, September 2006)

"…contains much current important work…" (Technometrics, November 2005)

"This a useful reference book on an important topic with applications to a wide range of disciplines." (CHOICE, September 2005)

“With this variety of papers, the reader is bound to find some papers interesting…” (Journal of Applied Statistics, Vol.32, No.3, April 2005)

“I strongly recommend that libraries have a copy of this book in their reference section.” (Journal of the Royal Statistical Society Series A, June 2005)

"...a very useful addition to academic libraries…" (Short Book Reviews, Vol.24, No.3, December 2004)

Wiley; October 2004
437 pages; ISBN 9780470090442
Read online, or download in secure PDF format
Title: Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
Author: Andrew Gelman; Xiao-Li Meng
 
Buy, download and read Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives (eBook) by Andrew Gelman; Xiao-Li Meng today!