A Problem of Bias in Scan Sampling
Bibliographic Data
| ID | 2951391 |
|---|---|
| Authors | K Hawkes (0000-0002-0558-4856), H Kaplan (0000-0002-7398-7358), Kim Hill (0000-0002-1994-8091), Magdalena Hurtado (0000-0002-6834-2918) |
| Year | 1987 |
| Volume | 43 |
| Issue | 3 |
| Pages | 239-246 |
| Publication date | 1987-10-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Anthropological Research (JOURNAL) |
| Journal identifiers | ISSN: 0091-7710 • E-ISSN: 2153-3806 |
| Publisher | University of Chicago Press (PUBLISHER • US) |
| DOI | 10.1086/jar.43.3.3630524 |
| OpenAlex | W2324982961 |
| Language | EN |
| Citations received | 9 |
| References cited | 16 |
Instantaneous scan sampling is intended to accumulate data sets large enough to allow quantitative assessments of activity budgets. If all subjects are not continuously visible, group activities may be seriously overrepresented in the sample of observations collected by scans. This paper describes the problem and our solution
Computer vision · Econometrics · Sample (material) · Sample size determination · Sampling (signal processing) · Sampling bias · Statistics · Anomaly Detection Techniques and Applications · Chemistry · Computer Science · Data-Driven Disease Surveillance · Mathematics · Mobile Crowdsensing and Crowdsourcing
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| Citations per year | 0.23 |
|---|---|
| Citation span | 1987 - 2010 (24) |
| Highly cited | No |