Adaptive survey designs for sampling rare and clustered populations

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Title

Adaptive survey designs for sampling rare and clustered populations

Content partner

University of Canterbury Library

Collection

UC Research Repository

Description

Designing an efficient large-area survey is a challenge, especially in environmental science when many populations are rare and clustered. Adaptive and unequal probability sampling designs are appealing when populations are rare and clustered because survey effort can be targeted to subareas of high interest. For example, higher density subareas are usually of more interest than lower density areas. Adaptive and unequal probability sampling offer flexibility for designing a long-term survey b...

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Format

Research paper

Research format

Journal article

Date created

2013

Creator

Brown, J.A. / M. Salehi, M. / Moradi, M. / Panahbehagh, B. / Smith, D.R.

URL

http://hdl.handle.net/10092/8378

Related subjects

Adaptive cluster sampling / Two-phase sampling / Stratified sampling / Adaptive two-stage sequential sampling / Complete allocation stratified sampling / Mathematical sciences / Statistics / Biostatistics / Environmental Sciences / Ecological Applications / Ecological Applications not elsewhere classified

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