Statistical Modeling and Inference for Social Science

This book provides an introduction to probability theory, statistical inference, and statistical modeling for social science researchers and Ph.D. students. Focusing on the connection between statistical procedures and social science theory, Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists. Gailmard explains how social scientists express and test substantive theoretical arguments in various models. Chapter exercises require application of concepts to actual data and extend students' grasp of core theoretical concepts. Students will complete the book with the ability to read and critique statistical applications in their fields of interest.

Author: Sean Gailmard
Publisher: Cambridge University Press
Published: 04/06/2017
Pages: 391
Binding Type: Paperback
Weight: 1.26lbs
Size: 9.00h x 6.00w x 0.87d
ISBN13: 9781316622223
ISBN10: 1316622223
BISAC Categories:
- Political Science | General
- Mathematics | Probability & Statistics | General