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Messages - joramh

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Damage & Loss (PELICUN) / Re: Uncertainty in consequence models
« on: June 01, 2022, 04:37:39 PM »
Hello Adam,

Apologies for the late response. Thanks a lot for taking the time to answer my question, this is definitely going to help me a lot.
I kinda decided to work around that uncertainty type for now, but I do plan to get back to it in a couple of months. I'll keep you posted whenever I do that.
Thank you!
Andrés.

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Damage & Loss (PELICUN) / Re: Uncertainty in consequence models
« on: May 08, 2022, 02:36:05 PM »
Thanks Adam. I really appreciate your help!

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Damage & Loss (PELICUN) / Re: Uncertainty in consequence models
« on: May 04, 2022, 05:24:44 PM »
Hey Adam,

Apologies if you're super busy, but do you think you could give me more information about this please?
Thanks!
Andrés.

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Damage & Loss (PELICUN) / Re: Uncertainty in consequence models
« on: April 15, 2022, 02:36:54 AM »
Hey Adam,

Thanks a lot for getting back to me. I've updated now to the 3.1b4 version.
Yes, I'm interested in incorporating skew normal distributions so any information you could give me will be really helpful!

Best,
Andrés.

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Damage & Loss (PELICUN) / Uncertainty in consequence models
« on: April 14, 2022, 12:54:41 AM »
Hello Adam,

Thanks a lot for the new updates and versions of Pelicun (specially the tutorial), it has been really helpful. I’ve been working on the tutorial you posted on youtube for a while now and I have a couple of questions regarding the definition of uncertainties.

1.- How can I specify uncertainty in the consequence models? I tried doing this by specifying a family and a Theta 1 value in the collapse/replacement consequences (additional_consequences dataframe in the tutorial), but when I do this, I notice that I still get a deterministic value for all the collapse/replacement realizations. In addition, some of the default FEMA P-58 components have already uncertainty defined and when the analysis is run, all the consequences (replacement costs) are still deterministic. Do you have any recommendations? I’m probably missing something here...

2.- It is mentioned in the tutorial that Pelicun supports many distributions. Does it support skew normal distribution as well? If so, how can I define it? My initial thought was to have Theta_0, Theta_1 and Theta_2 that represents shape, loc and scale of my distribution but I don’t know if this is possible.

Any help will be greatly appreciated! Thanks a lot!
Best,
Andrés Ramos.

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