scholarly journals A general method for elicitation, imputation, and sensitivity analysis for incomplete repeated binary data

2020 ◽  
Vol 39 (22) ◽  
pp. 2921-2935
Author(s):  
Daniel Tompsett ◽  
Stephen Sutton ◽  
Shaun R. Seaman ◽  
Ian R. White
2020 ◽  
Vol 77 (8) ◽  
pp. 1275-1280
Author(s):  
Jason Cope ◽  
Vladlena Gertseva

We present a visual and tabular representation of fisheries stock assessment model outputs to rapidly examine and effectively communicate sensitivity analysis results from numerous alternative model comparisons. This approach uses multiple output metrics to identify which alternative stock assessment model configurations relative to the reference model deserve further attention when quantifying intermodel uncertainty. An accompanying table of likelihood components, parameters, and model-derived quantities highlights where major changes exist compared with the reference model. The general method is applicable to any stock assessment and should aid in model behavior diagnosis and communicating uncertainty to managers. Specific examples and code are provided for the Stock Synthesis modelling framework.


Meccanica ◽  
1974 ◽  
Vol 9 (3) ◽  
pp. 214-221
Author(s):  
Aleramo Lucifredi

Author(s):  
Umesh R. Patil ◽  
Prakash Krishnaswami

Abstract In designing a kinematic system, it is desirable to ensure that the performance of the system is relatively insensitive to small changes in the nominal design, since this will result in a more robust system that can be manufactured economically with looser tolerances. A general method for minimizing the sensitivity of such systems is developed in this paper. The approach is based on the idea of converting the minimum sensitivity design problem into a nonlinear programming problem which is then solved using an exterior penalty function method. The constrained multi-element formulation is used for kinematic analysis and sensitivity analysis is performed using a direct differentation technique. The resulting algorithm is general enough to handle any planar kinematic system. The proposed method has been implemented in a computer program which has been tested on some sample problems. The results provide convincing proof of the power and feasibility of this method.


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