Thank you so much! You just don't know how much you have helped me with this video! Greetings from México!

This video just saved me a lot of trouble. Thanks for the good work and quality of the video.

Thanks for sharing this!!

Thank you a lot for sharing this video

What a usefull information, thank you.

After 5 hours of googleing I finally found this. Thank you so much for this video.

Very useful and informative...

Thank you for your explanation!

thank u amazing content

Greeting from China!

Thank you! Useful information.

ohhh, super helpful

madam can you please explain bayesian analysis by using Gaussian distribution in this matlab console

Thank you

Thank you so much! You just don't know how much you have helped me with this video! Greetings from India!

thank you thank you :)

2:14 What if the option I want isn’t available? I want Rayleigh but there isn't this option.

Are the codes the same for R ?

is it not possible to rename the x-axis and y-axis? thanks for the video

This window involves few type of distribution I can not find important distribution such as Weibull, uniform and kernal. so how can i add these distributions

@raydelcampo

4 жыл бұрын

your data doesn't have the requirements of these distributions for instance in order to use a weibull all your samples must to be >0 then the weibull distribution must appear to choose it

Thank you very much for this video! It is very useful! Sadly, I didn't find a way to make this tool to include in its analysis the value 0. I have a set of data with a bit more than 50% of zeros and the tool just ignore it. At least it warn in the workspace, otherwise I'd never see. A very usefull tool, thoug.

How to define best distribution fit?

so, how to select the best fit distribution for the data set?

@shobhitchaturvedi4866

4 жыл бұрын

Is there a way to do this in Matlab

Phitter is a goodness-of-fit testing software.

Thank you so much! You just don't know how much you have helped me with this video! Greetings from Japan!

@mathetal

4 жыл бұрын

Thank u :~)