The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Stati

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the

This concise, yet thorough, book is enhanced with simulations and graphs to build the intuition of readers Models for Probability and Statistical Inference was

Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover

David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.