Li-Chun Zhang

Graph Sampling (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 138
• Erscheinungstermin: 26. Dezember 2021
• Englisch
• ISBN-13: 9781000540970
• Artikelnr.: 62883064

Autorenporträt

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.

Inhaltsangabe

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