Attending to risk in sequential sampling plans

Hamilton, A. J., Versace, V. L., Hepworth, G., Stagnitti, Frank, Dawson, J., Ridland, P. M., Endersby, N. M., Schellhorn, N. A., Mansfield, C. and Rogers, P. M. 2005, Attending to risk in sequential sampling plans, in Environmental health risk III, Wit Press, Southampton, UK, pp.11-20.

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Title Attending to risk in sequential sampling plans
Author(s) Hamilton, A. J.
Versace, V. L.
Hepworth, G.
Stagnitti, Frank
Dawson, J.
Ridland, P. M.
Endersby, N. M.
Schellhorn, N. A.
Mansfield, C.
Rogers, P. M.
Title of book Environmental health risk III
Editor(s) Brebbia, C. A.
Popov, V.
Fayzieva, D.
Publication date 2005
Series WIT transactions on biomedicine and health ; v. 9
Total chapters 49
Start page 11
End page 20
Total pages 10
Publisher Wit Press
Place of Publication Southampton, UK
Keyword(s) binomial
enumerative
risk
sampling plan
sequential sampling
Taylor’s power law
Wald’s sequential probability ratio test
Summary Researchers typically tackle questions by constructing powerful, highlyreplicated sampling protocols or experimental designs. Such approaches often demand large samples sizes and are usually only conducted on a once-off basis. In contrast, many industries need to continually monitor phenomena such as equipment reliability, water quality, or the abundance of a pest. In such instances, costs and time inherent in sampling preclude the use of highlyintensive methods. Ideally, one wants to collect the absolute minimum number of samples needed to make an appropriate decision. Sequential sampling, wherein the sample size is a function of the results of the sampling process itself, offers a practicable solution. But smaller sample sizes equate to less knowledge about the population, and thus an increased risk of making an incorrect management decision. There are various statistical techniques to account for and measure risk in sequential sampling plans. We illustrate these methods and assess them using examples relating to the management of arthropod pests in commercial crops, but they can be applied to any situation where sequential sampling is used.
ISBN 1845640268
9781845640262
Language eng
Field of Research 090702 Environmental Engineering Modelling
HERDC Research category B1 Book chapter
Persistent URL http://hdl.handle.net/10536/DRO/DU:30000795

Document type: Book Chapter
Collection: School of Life and Environmental Sciences
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