
Pre-Owned Statistical Analysis of Network Data: Methods and Models (Paperback) 144192776X 9781441927767
Key item features
- ISBN: 9781441927767
- Condition: Pre-Owned: Good
- Trade paperback
- Language: English
- Pages: 386
- Trade paperback (US). Glued binding. 386 p. Springer Statistics.
- In recent years there has been an explosion of network data - that is, measu- ments that are either of or from a system conceptualized as a network - from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called 'network science.
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- Book formatPaperback
- Fiction/nonfictionNon-Fiction
- GenreComputing & Internet
- Pages386
- PublisherSpringer
- Original languagesEnglish
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Product details
- ISBN: 9781441927767
- Condition: Pre-Owned: Good
- Trade paperback
- Language: English
- Pages: 386
- Trade paperback (US). Glued binding. 386 p. Springer Statistics.
- In recent years there has been an explosion of network data - that is, measu- ments that are either of or from a system conceptualized as a network - from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called 'network science.
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Pre-Owned: Good
What is the Walmart Pre-Owned Program?
Walmart Pre-Owned allows you to find previously owned, well-cared-for items from Walmart’s trusted & performance-managed sellers. Shopping Pre-Owned allows you to bring home the best-quality picks at even lower prices, in addition to extending the life of an item & reducing waste. Find your favorites & shop a range of conditions in every category.
Why Walmart Pre-Owned?

Trusted sellers & quality items
Each Pre-Owned item listed comes from Walmart’s trusted performance-managed sellers, to ensure you get quality items.
Quality you can afford
Save even more on top brands & your most-loved items.

30-day free returns
Don’t love it? Most items offer a 30-day* free return policy, for added peace of mind.

Sustainability
Shopping Pre-Owned helps in extending the life of an item & reducing waste.
Product image for illustration purposes only. The item you receive may vary from the image in minor ways, such as slight differences in appearance, color, and/or design. *Exceptions apply during holiday season, and on certain electronics, collectibles, and jewelry.
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