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المؤلفSeber, George A. F.
المؤلفMohammad Salehi, M.
تاريخ الإتاحة2015-10-15T14:19:44Z
تاريخ النشر2015
اسم المنشورWiley StatsRef: Statistics Reference Online
المصدرWiley Online library
الاقتباسSeber, G. A. F. and Mohammad Salehi, M. 2015. Adaptive Sampling. Wiley StatsRef: Statistics Reference Online. 1–11.
الترقيم الدولي الموحد للكتاب 9781118445112 (online)
معرّف المصادر الموحدhttp://dx.doi.org/10.1002/9781118445112.stat05692.pub2
معرّف المصادر الموحدhttp://hdl.handle.net/10576/3544
الملخصAnimal populations are often highly grouped. For example, fish can form large, widely scattered schools with few fish in between. Even rare species of animals may form small groups that are hard to find. Applying standard sampling methods such as simple random sampling of plots to such a population could yield little information, with most of the plots being empty. Density estimation and physiological information based on this meagre information will have poor precision. Adaptive sampling is a method of unequal probability sampling based on the simple idea that when some animals are located on a sample plot, the neighboring plots (and possibly their neighbors as well) are added to the sample; in this way, the whole group can be sampled. The scheme lends itself to a variety of modifications, for example, sampling with and without replacement, sequential and inverse sampling, stratified sampling, two-stage sampling, and the so-called adaptive allocation, as well as extensions to order statistics, multivariate data, incomplete detectability, and super-population models.
اللغةen
الناشرJohn Wiley & Sons, Ltd
الموضوعadaptive allocation
adaptive cluster sampling
clustered populations
rare populations
confidence intervals
Rao-Blackwell theorem
inverse sampling
adaptive allocation
two-phase sampling
العنوانAdaptive Sampling
النوعBook chapter
dc.accessType Abstract Only


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