Author: Eric D. Kolaczyk
Edition: 2009
Binding: Hardcover
ISBN: 038788145X
Publisher: Springer
Features:
Edition: 2009
Binding: Hardcover
ISBN: 038788145X
Publisher: Springer
Features:
Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics)
This book provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. Search and download computer ebooks Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics) for free.
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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 include network mapping, characterization of
Statistical Analysis of Network Data Free
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
he 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 include network mapping, characterization of
