Statistical Modeling and Inference for Social Science - Couverture rigide

Gailmard, Sean

Couverture rigide

ISBN 10 : 1107003148 ISBN 13 : 9781107003149

Editeur : Cambridge University Press, 2014

Synopsis

This textbook is an introduction to probability theory, statistical inference and statistical modeling for graduate students and practitioners beginning social science research.

A propos du livre

À propos de l?auteur

Sean Gailmard is Associate Professor of Political Science at the University of California, Berkeley. Formerly an Assistant Professor at Northwestern University and at the University of Chicago, Gailmard earned his PhD in Social Science (economics and political science) from the California Institute of Technology. He is the author of Learning While Governing: Institutions and Accountability in the Executive Branch (2013), winner of the 2013 American Political Science Association's William H. Riker Prize for best book on political economy. His articles have been published in a variety of journals, including American Political Science Review, American Journal of Political Science and Journal of Politics. He currently serves as an associate editor for the Journal of Experimental Political Science and on the editorial boards for Political Science Research and Methods and Journal of Public Policy.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2014
• Langue: anglais
• ISBN 10: 1107003148
• ISBN 13: 9781107003149
• Reliure: Relié
• Nombre de pages: 388
• Coordonnées du fabricant: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italie