Estimation of a selectivity model with misclassified selection

2021 ◽  
pp. 1-34
Author(s):  
Vidhura S. B. W. Tennekoon ◽  
Steven B. Caudill
Keyword(s):  
Selectivity Model

Borrowing external information to estimate angler size selectivity: model development and application to Murray cod

2020 ◽  
Vol 77 (2) ◽  
pp. 425-437
Author(s):  
Daniel C. Gwinn ◽  
Gavin Butler ◽  
Brett Ingram ◽  
Scott Raymond ◽  
Mark Lintermans ◽  
...  
Keyword(s):  
Model Development ◽  
External Information ◽  
Size Selectivity ◽  
Large Size ◽  
Data Limitations ◽  
Vulnerability Model ◽  
Selectivity Model ◽  
Murray Cod ◽  
Modelling Approach

Estimating the size selectivity of fishery users and sampling methods can be difficult to achieve due to data limitations. However, these limitations can be moderated by borrowed information from other sources such as other systems, times, and species. Here we develop a model that integrates an externally sourced boat electrofishing length–vulnerability model with internally sourced boat electrofishing and angling catch data to estimate length-dependent vulnerability of fish to angling in a data-limited situation. We apply the model to Murray cod (Maccullochella peelii) as an example and show that angling for Murray cod selectively captures a narrow range of sizes that includes medium to large size fish. Although boat electrofishing also followed a similar pattern, the range of fish sizes vulnerable to capture was much broader, including a more uniform vulnerability of all size classes evaluated. Understanding the length selectivity to capture has key implications for effective determination of fisheries regulations, as well as interpreting monitoring data. Thus, we see this modelling approach as a good option when more informative data are not available to support the estimation process.

A sequential selectivity model of the decisions of arbitrators

1993 ◽  
Vol 14 (3) ◽  
pp. 261-267 ◽  
Author(s):  
Steven B. Caudill ◽  
Sharon L. Oswald
Keyword(s):  
Selectivity Model

scholarly journals Spectral selectivity model for light transmission by the intermediate filaments in Müller cells

2017 ◽  
Vol 173 ◽  
pp. 282-290 ◽  
Author(s):  
Igor Khmelinskii ◽  
Tatiana Golubeva ◽  
Elena Korneeva ◽  
Mikhail Inyushin ◽  
Lidia Zueva ◽  
...  
Keyword(s):  
Intermediate Filaments ◽  
Light Transmission ◽  
Müller Cells ◽  
Muller Cells ◽  
Spectral Selectivity ◽  
Selectivity Model

Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions

2001 ◽  
Vol 13 (8) ◽  
pp. 1811-1825 ◽  
Author(s):  
Heiko Wersing ◽  
Wolf-Jürgen Beyn ◽  
Helge Ritter
Keyword(s):  
Recurrent Neural Networks ◽  
Transfer Functions ◽  
Piecewise Linear ◽  
Recurrent Networks ◽  
Simple Interpretation ◽  
Local Inhibition ◽  
Linear Threshold ◽  
Selectivity Model ◽  
Inhibitory Interactions ◽  
Symmetric Networks

We establish two conditions that ensure the nondivergence of additive recurrent networks with unsaturating piecewise linear transfer functions, also called linear threshold or semilinear transfer functions. As Hahn-loser, Sarpeshkar, Mahowald, Douglas, and Seung (2000) showed, networks of this type can be efficiently built in silicon and exhibit the coexistence of digital selection and analog amplification in a single circuit. To obtain this behavior, the network must be multistable and nondivergent, and our conditions allow determining the regimes where this can be achieved with maximal recurrent amplification. The first condition can be applied to nonsymmetric networks and has a simple interpretation of requiring that the strength of local inhibition match the sum over excitatory weights converging onto a neuron. The second condition is restricted to symmetric networks, but can also take into account the stabilizing effect of nonlocal inhibitory interactions. We demonstrate the application of the conditions on a simple example and the orientation-selectivity model of Ben-Yishai, Lev Bar-Or, and Sompolinsky (1995). We show that the conditions can be used to identify in their model regions of maximal orientation-selective amplification and symmetry breaking.

Size-selective catch in tropical tuna purse seine fishery in the Eastern Indian Ocean: Assessment on new selectivity model for purse seine net

2016 ◽  
Vol 82 (3) ◽  
pp. 391-404 ◽  
Author(s):  
Watcharapong Chumchuen ◽  
Tatsuro Matsuoka ◽  
Kazuhiko Anraku ◽  
Sukchai Arnupapboon
Keyword(s):  
Indian Ocean ◽  
Purse Seine ◽  
Eastern Indian Ocean ◽  
Selectivity Model ◽  
Tropical Tuna ◽  
Purse Seine Fishery
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