Isbn: 9780470090435 - applied bayesian modeling and causal inference from incomplete-data perspectives: an essential journey with donald rubin's statistical family (wiley series in probability and statistics) (8 Ergebnisse)

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Book contains pencil markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780470090435.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. pp. xix + 407 Illus.

Gebunden. Zustand: New. Statistical techniques that take account of missing data in a clinical trial, census, or other experiments, observational studies, and surveys are of increasing importance. The use of increasingly powerful computers and algorithms has made it possible to st.

Zustand: New. This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real--world examples which do not feature in many standard texts. Editor(s): Gelman, Andrew; Meng, Xiao-Li. Series: Wiley Series in Probability and Statistics. Num Pages: 436 pages, Illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 247 x 167 x 30. Weight in Grams: 786. . 2004. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin has made fundamental contributions to the study of missing data.Key features of the book include:\* Comprehensive coverage of an imporant area for both research and applications.\* Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques.\* Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference.\* Includes a number of applications from the social and health sciences.\* Edited and authored by highly respected researchers in the area.…

Hardcover. Zustand: Brand New. 1st edition. 436 pages. 9.00x6.25x1.25 inches. In Stock.