Foundations of Agnostic Statistics
Author:   Peter M. Aronow (Yale University, Connecticut) ,  Benjamin T. Miller (Yale University, Connecticut)
Publisher:   Cambridge University Press
ISBN:  

9781107178915


Pages:   314
Publication Date:   31 January 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Foundations of Agnostic Statistics


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Author:   Peter M. Aronow (Yale University, Connecticut) ,  Benjamin T. Miller (Yale University, Connecticut)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 15.60cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.650kg
ISBN:  

9781107178915


ISBN 10:   1107178916
Pages:   314
Publication Date:   31 January 2019
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction; Part I. Probability: 1. Probability theory; 2. Summarizing distributions; Part II. Statistics: 3. Learning from random samples; 4. Regression; 5. Parametric models; Part III. Identification: 6. Missing data; 7. Causal inference.

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Author Information

Peter M. Aronow is an Associate Professor of Political Science, Public Health (Biostatistics), and Statistics and Data Science at Yale University, Connecticut and is affiliated with the University's Institution for Social and Policy Studies, Center for the Study of American Politics, Institute for Network Science, and Operations Research Doctoral Program. Benjamin T. Miller is a doctoral candidate in Political Science at Yale University, Connecticut. In 2012, Mr Miller received a B.A. in Economics and Mathematics from Amherst College.

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