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Statistical Modeling and Inference for Social Science
Sean Gailmard (Author)
·
Cambridge Univ Pr
· Hardcover
Statistical Modeling and Inference for Social Science - Sean Gailmard
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Origin: Spain
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Synopsis "Statistical Modeling and Inference for Social Science"
This book provides an introduction to probability theory, statistical inference, and statistical modeling for social science researchers and Ph.D. students. Focusing on the connection between statistical procedures and social science theory, Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists. Gailmard explains how social scientists express and test substantive theoretical arguments in various models. Chapter exercises require application of concepts to actual data and extend students' grasp of core theoretical concepts. Students will complete the book with the ability to read and critique statistical applications in their fields of interest.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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