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.
Take a look at SmoothHistogram and SmoothKernelDistribution.
SmoothHistogram
SmoothKernelDistribution
Hi Jim Is there any resource where I can create PDF from experimental observation manually. The following link contains experimental observation download-file
You could try FindDistribution.
FindDistribution
By "manually" do you mean in R? In Excel? Some other software package?
Or do you just want the formula for the estimated density? Note that the formula requires all of the data values.
