Graph Sampling
Li-Chun Zhang
Venduto da Chiron Media, Wallingford, Regno Unito
Venditore AbeBooks dal 2 agosto 2010
Nuovi - Rilegato
Condizione: Nuovo
Quantità: 5 disponibili
Aggiungere al carrelloVenduto da Chiron Media, Wallingford, Regno Unito
Venditore AbeBooks dal 2 agosto 2010
Condizione: Nuovo
Quantità: 5 disponibili
Aggiungere al carrelloCodice articolo 6666-TNFPD-9781032067087
Many technological, socio-economic, environmental, biomedical phenomena exhibit an underlying graph structure. Valued graph allows one to incorporate the connections or links among the population units in addition. The links may provide effectively access to the part of population that is the primary target, which is the case for many unconventional sampling methods, such as indirect, network, line-intercept or adaptive cluster sampling. Or, one may be interested in the structure of the connections, in terms of the corresponding graph properties or parameters, such as when various breadth- or depth-first non-exhaustive search algorithms are applied to obtain compressed views of large often dynamic graphs.
Graph sampling provides a statistical approach to study real graphs from either of these perspectives. It is based on exploring the variation over all possible sample graphs (or subgraphs) which can be taken from the given population graph, by means of the relevant known sampling probabilities. The resulting design-based inference is valid whatever the unknown properties of the given real graphs.
Graph Sampling can primarily be used as a resource for researchers working with sampling or graph problems, and as the basis of an advanced course for post-graduate students in statistics, mathematics and data science.
Li-Chun Zhang is Professor of Social Statistics at the University of Southampton, Senior Researcher at Statistics Norway, and Professor of Official Statistics at the University of Oslo. He has researched and published on topics such as finite population sampling design and coordination, graph sampling, machine learning, sample survey estimation, non-response, measurement errors, small area estimation, index number calculations, editing and imputation, register-based statistics, population size estimation, statistical matching, record linkage.
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