Maximum Likelihood for Social Science (Analytical Methods for Social Research)

Ward, Michael D.

ISBN 10: 1316636828 / ISBN 13: 9781316636824

Editore: Cambridge University Press, 2018

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Dati bibliografici

• Titolo: Maximum Likelihood for Social Science (Analytical Methods for Social Research)
• Editore: Cambridge University Press
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1316636828
• ISBN 13: 9781316636824
• Rilegatura: paperback
• Condizione: Good
• Peso: 1,1 libbre

Descrizione articolo

Riassunto

Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.

Informazioni sugli autori

Michael D. Ward is Professor Emeritus at Duke University, North Carolina. He has taught at Northwestern University, the University of Colorado, and the University of Washington. He worked as a principal research scientist at the Wissenschaftszentrum Berlin and held a Chaire Municipale at the University of Pierre Mendes France (Grenoble II). His work began with a study of the links between global and national inequalities, continued with seminal articles on the conflict processes in the Cold War, and more recently turned to analyses of networks of conflict and cooperation in the contemporary era. At Duke University, he established an innovative research lab of graduate and undergraduate students focusing on conflict prediction. One of the first political scientists to focus on the role of prediction in scholarly and policy work, he continues these efforts in his company, Predictive Heuristics, a data analytics firm that provides risk analysis for commercial and institutional clients.

John S. Ahlquist is Associate Professor of Political Economy at University of California, San Diego's School of Global Policy and Strategy and a 2017–18 Fellow at Stanford's Center for Advanced Study in the Behavioral Sciences. He previously held faculty positions at the University of Wisconsin, Madison and Florida State University. His work has focused on the political structure and actions of labor unions, as well as the politics of redistribution and social insurance in a globalized economy. His methodological interests have spanned statistical models for network data; machine learning and cluster analysis; and the analysis of survey list experiments. He is author of over twenty journal articles appearing in a variety of outlets, including the American Journal of Political Science, American Political Science Review, the Journal of Politics, and Political Analysis. His most recent book (with Margaret Levi) is In the Interest of Others (2013). He is a past winner of a variety of prizes, including the Macur Olson Award, the Michael Wallerstein Award, and the APSA Labor Project Best Book Award. Ahlquist holds a Ph.D. from the University of Washington and a B.A. from University of California Berkeley.