Andrew Gelman is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are Bayesian Data Analysis (1995, second edition 2003) and Teaching Statistics: A Bag of Tricks (2002).
13 Електронні книги від Andrew Gelman
Andrew Gelman & Xiao-Li Meng: Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
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 inf …
PDF
Англійська
DRM
€107.99
Andrew Gelman & David K. Park: Red State, Blue State, Rich State, Poor State
On the night of the 2000 presidential election, Americans watched on television as polling results divided the nation’s map into red and blue states. Since then the color divide has become symbolic o …
EPUB
Англійська
DRM
€19.99
Andrew Gelman & Deborah Nolan: Teaching Statistics
Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to …
PDF
Англійська
DRM
€35.30
Andrew Gelman & Jennifer Hill: Data Analysis Using Regression and Multilevel/Hierarchical Models
…
PDF
Англійська
DRM
€66.40
Jeronimo Cortina & Andrew Gelman: Quantitative Tour of the Social Sciences
…
PDF
Англійська
DRM
€42.36
Steve (University of Cambridge, UK) Brooks & Andrew (Department of Statistics, Columbia University, New York, USA) Gelman: Handbook of Markov Chain Monte Carlo
Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian stati …
PDF
DRM
€98.80
John B. (The Royal Children’s Hospital, Parkville, Victoria, Australia) Carlin & David B. (Duke University, Durham, North Carolina, USA) Dunson: Bayesian Data Analysis
Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded fo …
PDF
DRM
€102.55
Alicia Carriquiry & Constantine Gatsonis: Case Studies in Bayesian Statistics
The 6th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University in October, 2001. This volume contains the invited case studies with the accompanying discussion as …
PDF
Англійська
DRM
€114.12
Bradley Carlin & Alicia Carriquiry: Case Studies in Bayesian Statistics
The 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University campus on September 24-25, 1999. As in the past, the workshop featured both invited and contributed …
PDF
Англійська
DRM
€114.85
Andrew Gelman & Deborah Nolan: Teaching Statistics
Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to …
EPUB
Англійська
DRM
€32.11
John B. (The Royal Children’s Hospital, Parkville, Victoria, Australia) Carlin & David B. (Duke University, Durham, North Carolina, USA) Dunson: Bayesian Data Analysis
Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded fo …
EPUB
DRM
€102.72
