Statistical Modeling and Inference for Social Science (Analytical Methods for Social Research) - Hardcover

Gailmard, Sean

 
9781107003149: Statistical Modeling and Inference for Social Science (Analytical Methods for Social Research)

Inhaltsangabe

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

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Über die Autorin bzw. den Autor

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.

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Weitere beliebte Ausgaben desselben Titels

9781316622223: Statistical Modeling and Inference for Social Science (Analytical Methods for Social Research)

Vorgestellte Ausgabe

ISBN 10:  1316622223 ISBN 13:  9781316622223
Verlag: Cambridge University Press, 2017
Softcover