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- Author: Sean Gailmard
- Publisher: Cambridge University Press
- ISBN-10: 1107003148
- ISBN-13: 9781107003149
- Format: 15.2 x 23.1 x 2.5 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Statistical Modeling and Inference for Social Science (e-book) (used book) | bookbook.eu
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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.
EXTRA 10 % discount with code: EXTRA
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- Author: Sean Gailmard
- Publisher: Cambridge University Press
- ISBN-10: 1107003148
- ISBN-13: 9781107003149
- Format: 15.2 x 23.1 x 2.5 cm, kieti viršeliai
- Language: English English
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.
Reviews