1st Edition

Graph Sampling

By Li-Chun Zhang Copyright 2022
138 Pages 37 B/W Illustrations
by Chapman & Hall

138 Pages 37 B/W Illustrations
by Chapman & Hall

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,... Read more
1. General introduction
2. Bipartite incidence graph sampling and weighting
3. Strategy BIGS-IWE
4. Adaptive cluster sampling
5. Snowball sampling
6. Targeted random walk sampling

Biography

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.