Inferential network analysis

Rubriek: Textual/Printed/Reference Materials - Boek

Prijs: 62.99 Nu voor: € 53.42

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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.

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Taal: en

Bindwijze: Paperback

Oorspronkelijke releasedatum: 19 november 2020

Aantal pagina's: 314

Illustraties: Nee

Hoofdauteur: Skyler J. Cranmer

Tweede Auteur: Bruce A. Desmarais

Co Auteur: Jason W. Morgan

Hoofduitgeverij: Cambridge University Press

Extra groot lettertype: Nee

Product breedte: 151 mm

Product hoogte: 18 mm

Product lengte: 226 mm

Studieboek: Ja

Verpakking breedte: 149 mm

Verpakking hoogte: 19 mm

Verpakking lengte: 224 mm

Verpakkingsgewicht: 528 g

EAN: 9781316610855

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