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Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) by Eric D. Kolaczyk (auth.) is a nonfiction available to read on EtoBox.

What is Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) about?

"In the past decade, the study of networks has increased dramatically. Researchers from across the sciences--including biology and bioinformatics, computer science, economics, engineering, mathematics, physics, sociology, and statistics--are more and more involved with the collection and statistical analysis of network-indexed data. As a result, statistical methods and models are being developed in this area at a furious pace, with contributions coming from a wide spectrum of disciplines. This book provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statistical taxonomy, although the presentation entails a conscious balance of concepts versus mathematics. In addition, the examples--including extended cases studies--are drawn widely from the literature. This book should be of substantial interest both to statisticians and to anyone else working in the area of 'network science.' The coverage of topics in this book is broad, but unfolds in a systematic manner, moving from descriptive (or exploratory) methods, to sampling, to modeling and inference. Specific topics includ

Who reads Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics)?

Author

Eric D. Kolaczyk (auth.)

Publisher

Springer New York

Published

2009

Language

EN

ISBN

9780387881454

Category

nonfiction

Subjects

Science, Mathematics, Engineering