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Cover: 9781316622223 | Statistical Modeling and Inference for Social Science | Sean Gailmard
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Statistical Modeling and Inference for Social Science
Taschenbuch von Sean Gailmard
Sprache: Englisch

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Beschreibung
This textbook is an introduction to probability theory, statistical inference and statistical modeling for graduate students and practitioners beginning social science research.
This textbook is an introduction to probability theory, statistical inference and statistical modeling for graduate students and practitioners beginning social science research.
Über 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.
Inhaltsverzeichnis
1. Introduction; 2. Descriptive statistics: data and information; 3. Observable data and data-generating processes; 4. Probability theory: basic properties of data-generating processes; 5. Expectation and moments: summaries of data-generating processes; 6. Probability and models: linking positive theories and data-generating processes; 7. Sampling distributions: linking data-generating processes and observable data; 8. Hypothesis testing: assessing claims about the data-generating process; 9. Estimation: recovering properties of the data-generating process; 10. Causal inference: inferring causation from correlation; Afterword: statistical methods and empirical research.
Details
Erscheinungsjahr: 2017
Genre: Politikwissenschaften
Rubrik: Wissenschaften
Medium: Taschenbuch
ISBN-13: 9781316622223
ISBN-10: 1316622223
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Gailmard, Sean
Hersteller: Cambridge University Press
Maße: 229 x 152 x 23 mm
Von/Mit: Sean Gailmard
Erscheinungsdatum: 13.01.2017
Gewicht: 0,635 kg
Artikel-ID: 108510648
Über 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.
Inhaltsverzeichnis
1. Introduction; 2. Descriptive statistics: data and information; 3. Observable data and data-generating processes; 4. Probability theory: basic properties of data-generating processes; 5. Expectation and moments: summaries of data-generating processes; 6. Probability and models: linking positive theories and data-generating processes; 7. Sampling distributions: linking data-generating processes and observable data; 8. Hypothesis testing: assessing claims about the data-generating process; 9. Estimation: recovering properties of the data-generating process; 10. Causal inference: inferring causation from correlation; Afterword: statistical methods and empirical research.
Details
Erscheinungsjahr: 2017
Genre: Politikwissenschaften
Rubrik: Wissenschaften
Medium: Taschenbuch
ISBN-13: 9781316622223
ISBN-10: 1316622223
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Gailmard, Sean
Hersteller: Cambridge University Press
Maße: 229 x 152 x 23 mm
Von/Mit: Sean Gailmard
Erscheinungsdatum: 13.01.2017
Gewicht: 0,635 kg
Artikel-ID: 108510648
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