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Will Usher: Using the SALib library for conducting sensitivity analyses of models 

PyData
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19 сен 2024

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Комментарии : 8   
@HumbertoDaSilvaSantos-pz2nu
@HumbertoDaSilvaSantos-pz2nu 5 месяцев назад
Will, this is fantastic. Thanks for sharing this great work
@aditya_marathe
@aditya_marathe Год назад
Great talk! Thanks for sharing!
@binqian3912
@binqian3912 Год назад
Thanks for sharing
@prathameshyeole4566
@prathameshyeole4566 3 месяца назад
Can you please tell me if I want the output as a percentage change, that is If I am varying my input parameter with a 1% change then by how much will my output change using the any of the analysis method that is Sobol or morris?
@HumbertoDaSilvaSantos-pz2nu
@HumbertoDaSilvaSantos-pz2nu 3 месяца назад
Hello Dear, hope you are doing well. Reading your question, to me that sounds more to a local sensitivity analysis (LSA) related problem, which is even much simpler to run. In the case of Sobol or Morris methods, one usually is dealing with Global Sensitivity Analysis (GSA), and the investigation relies mainly on the contributions of model input uncertainty to model output uncertainty. In your case you can use Matrix Perturbation theory (The Computational Structure of Life Cycle Assessment, by Heijungs and Sangwon), or even simpler, you can run OAT One-factor-at-a-time by choosing one input, varying it by 1% while the remaing inputs are constant, run the model and see the effect of this 1% on the model output interested. Than repeat the procedure for the remaing parameters. I hope it helps. If you want to increase the reliability of your model, then move forward to Morris and Sobol, and for this you need an statistical analysis of the input because it is necessary the ranges (standard deviation) to see the variability of the input.
@itssharavariyeole2712
@itssharavariyeole2712 3 месяца назад
Thank you, I will apply this
@user-xr5rq6ci6q
@user-xr5rq6ci6q 10 месяцев назад
can i do this method in parallel ?
@tuckerhartland1001
@tuckerhartland1001 8 лет назад
Down in front!!
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