Description: Maximum Likelihood for Social Science by Michael D. Ward, John S. Ahlquist Estimated delivery 3-12 business days Format Paperback Condition Brand New Description A new advanced text in applied statistics and methodology in the social sciences, aimed at Ph.D. students in political science, sociology, and related disciplines. The authors take an applied perspective here, emphasizing core statistical concepts, computation in R, and the tools for evaluating and interpreting statistical models. Publisher Description This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques. Author Biography 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 Diegos School of Global Policy and Strategy and a 2017–18 Fellow at Stanfords 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. Details ISBN 1316636828 ISBN-13 9781316636824 Title Maximum Likelihood for Social Science Author Michael D. Ward, John S. Ahlquist Format Paperback Year 2018 Pages 324 Publisher Cambridge University Press GE_Item_ID:119565130; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. 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ISBN-13: 9781316636824
Book Title: Maximum Likelihood for Social Science
Number of Pages: 324 Pages
Language: English
Publication Name: Maximum Likelihood for Social Science : Strategies for Analysis
Publisher: Cambridge University Press
Publication Year: 2018
Subject: General, Research
Item Height: 0.7 in
Item Weight: 16.7 Oz
Type: Textbook
Subject Area: Social Science, Political Science
Author: John S. Ahlquist, Michael D. Ward
Item Length: 8.9 in
Series: Analytical Methods for Social Research Ser.
Item Width: 6 in
Format: Trade Paperback
