Statistical Modeling and Inference for Social Science - Rilegato

Gailmard, Sean

Rilegato

ISBN 10: 1107003148 ISBN 13: 9781107003149

Casa editrice: Cambridge University Press, 2014

Riassunto

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

Su questo libro

Informazioni sull'autore

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.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 1107003148
• ISBN 13: 9781107003149
• Rilegatura: Copertina rigida
• Numero di pagine: 388
• Contatto del produttore: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italia