نتایج جستجو برای: sensitivity analyzing
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different areas of modern financial tools and processes activities contain the matters like innovations in financial tools engineering and risk management. derivatives and especially stock exchange option is part of this innovation. among all numerical procedures in calculating the value of derivatives and the risk sensitivity parameters of option, binomial models are widely used. in this stud...
background: neospora caninum is a protozoan parasite from phylum apicomplexa and an important agent causing abortion in cattle which produce notable economic loss all around the world. methods: dot-elisa was set up performing checker board procedure and then 178 sera of cattle examined with commercial indirect elisa and direct agglutination test (dat) were also evaluated by dot-elisa afterwards...
Aim(s): Virtopsy is a modern technology that identifies the cause of death through radiology without dissection. In addition to reducing the detection time, this technology also has high diagnostic sensitivity in some cases. One of the aims of criminal law science is accurate and rapid criminology. The aim of this study was to investigate the application of virtopsy method in crime detection an...
In MEMS capacitive microphone design, it is very critical to get highest yielding rate and sensitivity as the two major factors dominate structure design of microphone. The centralpost MEMS microphone is introduced in this paper to differentiate from traditional fixed membrane boundary microphone since the construction is simple and only few masks are required in the process so that the yieldin...
Calculations of the breakup of B and Be are performed with the aim of analyzing their sensitivity to the projectile description. Several potentials adjusted on the same experimental data are used for each projectile. The results vary significantly with the potential choice, and this sensitivity differs from one projectile to the other. In the B case, the breakup cross section is approximately s...
Genetic algorithms (GA) are applied to the solution of high-dimensional optimization problems. Additionally, sensitivity analysis (SA) is usually carried out to determine the effect on optimal solutions of changes in parameter values of the objective function. These two analyses (i.e., optimization and sensitivity analysis) are computationally intensive when applied to high-dimensional function...
Mathematical modelers from different disciplines and regulatory agencies worldwide agree on the importance of a careful sensitivity analysis (SA) of model-based inference. The most popular SA practice seen in the literature is that of ’one-factor-at-a-time’ (OAT). This consists of analyzing the effect of varying one model input factor at a time while keeping all other fixed. While the shortcomi...
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