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Books > Science & Mathematics > Biology, life sciences > Molecular biology
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Statistical Analysis of Network Data - Methods and Models (Paperback, Softcover reprint of hardcover 1st ed. 2009)
Loot Price: R2,908
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Statistical Analysis of Network Data - Methods and Models (Paperback, Softcover reprint of hardcover 1st ed. 2009)
Series: Springer Series in Statistics
Expected to ship within 18 - 22 working days
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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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