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  • Abundance estimation  (4)
  • 1
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    Application of adaptive sampling in fishery. Part 1: Adaptive cluster sampling and its strip designs (2018)
    Details
    Publication Date: 2021-05-19
    Description: The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their habitats. Theory of a class of sampling designs called adaptive sampling designs has rapidly grown during last decade which solved the mentioned problem. These sampling designs are successfully used to asses fish life stocks in number of cases. The first aim of this article is to develop some versions of adaptive sampling which are more useful for fishery study. The author will introduce Adaptive Cluster Sampling (ACS) and its strip version which is more useful for fishery and marine studies. Since the parameter of interest is usually the density in fishery study, estimators of the density are developed in this article. In many biological studies, it has been shown that non-overlap two stage adaptive sampling and strip adaptive sampling are very efficient sampling designs so that we also develop non-overlap two stage adaptive cluster sampling of strips. The second aim of this article is to introduce adaptive cluster sampling to our fishery researchers' community and demonstrate the idea and computation to those who know statistics in some level.
    Description: Published
    Keywords: Sampling design ; Clump fish population ; Abundance estimation
    Repository Name: AquaDocs
    Type: Journal Contribution , Refereed
    Format: pp.55-76
    Location Call Number Expected Availability
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    PAPER (OA)
  • 2
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    Application of adaptive sampling in fishery. Part 2: Truncated adaptive cluster sampling designs (2018)
    Details
    Publication Date: 2021-05-19
    Description: There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until recently, the unbiased estimators were not available for both sampling. Restricted adaptive cluster sampling was used (Lo et al., 1997) under investigation in US Southwest Fisheries Science Center which was reasonably efficient even with a biased estimator. Salehi and Seber (2002) propose an unbiased estimator for this sampling design. They show that the unbiased estimator is shown to compare very favorably with the standard biased estimators, using simulation.
    Description: Published
    Keywords: Sampling design ; Clump fish population ; Abundance estimation
    Repository Name: AquaDocs
    Type: Journal Contribution , Refereed
    Format: pp.77-84
    Location Call Number Expected Availability
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    PAPER (OA)
  • 3
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    Application of adaptive sampling in fishery part 2: truncated adaptive cluster sampling designs (2021)
    In:  http://aquaticcommons.org/id/eprint/22243 | 18721 | 2018-03-01 13:48:17 | 22243 | Iranian Fisheries Science Research Institute
    Details
    Publication Date: 2021-07-01
    Description: There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until recently, the unbiased estimators were not available for both sampling. Restricted adaptive cluster sampling was used (Lo et al., 1997) under investigation in US Southwest Fisheries Science Center which was reasonably efficient even with a biased estimator. Salehi and Seber (2002) propose an unbiased estimator for this sampling design. They show that the unbiased estimator is shown to compare very favorably with the standard biased estimators, using simulation.
    Keywords: Biology ; Fisheries ; Sampling design ; Clump fish population ; Abundance estimation ; Iran
    Repository Name: AquaDocs
    Type: article , TRUE
    Format: application/pdf
    Format: application/pdf
    Format: 77-84
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER (OA)
  • 4
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    Application of adaptive sampling in fishery part 1: adaptive cluster sampling and its strip designs (2021)
    In:  http://aquaticcommons.org/id/eprint/22242 | 18721 | 2018-03-01 13:46:16 | 22242 | Iranian Fisheries Science Research Institute
    Details
    Publication Date: 2021-07-01
    Description: The precision of conventional sampling designs is not usually satisfactory for estimating parameters of clump and rare populations. Many of fish species live in school and disperse all over a vast area like a sea so that they are rare compare to their habitats. Theory of a class of sampling designs called adaptive sampling designs has rapidly grown during last decade which solved the mentioned problem. These sampling designs are successfully used to asses fish life stocks in number of cases.The first aim of this article is to develop some versions of adaptive sampling which are more useful for fishery study. The author will introduce Adaptive Cluster Sampling (ACS) and its strip version which is more useful for fishery and marine studies. Since the parameter of interest is usually the density in fishery study, estimators of the density are developed in this article. In many biological studies, it has been shown that non-overlap two stage adaptive sampling and strip adaptive sampling are very efficient sampling designs so that we also develop non-overlap two stage adaptive cluster sampling of strips. The second aim of this article is to introduce adaptive cluster sampling to our fishery researchers' community and demonstrate the idea and computation to those who know statistics in some level.
    Keywords: Biology ; Fisheries ; Sampling design ; Clump fish population ; Abundance estimation ; Iran
    Repository Name: AquaDocs
    Type: article , TRUE
    Format: application/pdf
    Format: application/pdf
    Format: 55-76
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER (OA)
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