Inferential Network Analysis

Desmarais, Bruce A.

ISBN 10: 1316610853 ISBN 13: 9781316610855

Published by Cambridge University Press, 2020

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Synopsis:

Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis.

About the Authors: Skyler J. Cranmer is the Carter Phillips and Sue Henry Professor of Political Science at The Ohio State University.

Bruce A. Desmarais is the DeGrandis-McCourtney Early Career Professor in Political Science at Penn State University.

Jason William Morgan is the Vice President for Behavioural Intelligence: Aware, and visiting scholar in Political Science at The Ohio State University.

"About this title" may belong to another edition of this title.

Bibliographic Details

Title: Inferential Network Analysis
Publisher: Cambridge University Press
Publication Date: 2020
Binding: PAP
Condition: New

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Inferential Network Analysis (Analytical Methods for Social Research)

Cranmer, Skyler J.,Desmarais, Bruce A.,Morgan, Jason W.

Published by Cambridge University Press, 2021

ISBN 10: 1316610853 ISBN 13: 9781316610855

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INFERENTIAL NETWORK ANALYSIS

CRANMER, SKYLER J.

Published by Cambridge University Press, 2021

ISBN 10: 1316610853 ISBN 13: 9781316610855

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Inferential Network Analysis (Analytical Methods for Social Research)

Skyler J. Cranmer,Bruce A. Desmarais,Jason W. Morgan

Published by Cambridge University Press 2020-11-19, 2020

ISBN 10: 1316610853 ISBN 13: 9781316610855

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Inferential Network Analysis

Cranmer, Skyler J.; Desmarais, Bruce A.; Morgan, Jason W.

Published by Cambridge University Press, 2021

ISBN 10: 1316610853 ISBN 13: 9781316610855

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Inferential Network Analysis (Paperback)

Bruce A. Desmarais

Published by Cambridge University Press, Cambridge, 2020

ISBN 10: 1316610853 ISBN 13: 9781316610855

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Paperback. Condition: new. Paperback. This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses. Introduces foundational statistical models for network data, augmenting theoretical discussion with applications across the social sciences implemented in the R language. An introductory text or reference for researchers, graduate students, and advanced undergraduate students across the social, mathematical, computational and physical sciences. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781316610855

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