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Graph Sampling
Buch von Li-Chun Zhang
Sprache: Englisch

70,55 €*

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Lieferzeit 1-2 Wochen

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Beschreibung

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.

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.

Über den Autor

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.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2021
Fachbereich: Grundlagen (Methodik & Statistik)
Genre: Psychologie
Rubrik: Geisteswissenschaften
Medium: Buch
Seiten: 122
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9781032067087
ISBN-10: 103206708X
Sprache: Englisch
Einband: Gebunden
Autor: Zhang, Li-Chun
Hersteller: Taylor & Francis Ltd
Maße: 145 x 224 x 15 mm
Von/Mit: Li-Chun Zhang
Erscheinungsdatum: 27.12.2021
Gewicht: 0,286 kg
preigu-id: 120796256
Über den Autor

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.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2021
Fachbereich: Grundlagen (Methodik & Statistik)
Genre: Psychologie
Rubrik: Geisteswissenschaften
Medium: Buch
Seiten: 122
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9781032067087
ISBN-10: 103206708X
Sprache: Englisch
Einband: Gebunden
Autor: Zhang, Li-Chun
Hersteller: Taylor & Francis Ltd
Maße: 145 x 224 x 15 mm
Von/Mit: Li-Chun Zhang
Erscheinungsdatum: 27.12.2021
Gewicht: 0,286 kg
preigu-id: 120796256
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