Group Abstract Group Abstract

Message Boards Message Boards

How to calculate probability density using observations?

Posted 5 years ago

Hi All

I am currently doing Master in data science. I came across the function PDF probability density function which is used to find cumulative probability(range) of a continuous random variable.
The PDF probability density function is plotted against probability density in y axis and Random variable in x axis.
I am not able to understand how to convert an experiments observation of continuous random variable into probability density function.
Kindly help me understand with a small example.

Thank you.

POSTED BY: naveen mani
4 Replies
Posted 5 years ago

Take a look at SmoothHistogram and SmoothKernelDistribution.

POSTED BY: Jim Baldwin
Posted 5 years ago

Hi Jim Is there any resource where I can create PDF from experimental observation manually. The following link contains experimental observation download-file

POSTED BY: naveen mani
Posted 5 years ago

You could try FindDistribution.

POSTED BY: Rohit Namjoshi
Posted 5 years ago
POSTED BY: Jim Baldwin
Reply to this discussion
Community posts can be styled and formatted using the Markdown syntax.
Reply Preview
Attachments
Remove
or Discard