Is there a function to determine the non-exceedance probability of each value in the table?
12 views (last 30 days)
Show older comments
Table = readtable("practice3.xlsx");
x = Table.values
0 Comments
Accepted Answer
the cyclist
on 12 Feb 2023
Edited: the cyclist
on 12 Feb 2023
Using info from your near-duplicate of this question:
Table = readtable("https://www.mathworks.com/matlabcentral/answers/uploaded_files/1293540/practice3.xlsx");
x = Table.values
nonExceedanceProbability = sum(x'<=x,2)/numel(x)
This assumes that you are trying only to do the purely empirical non-exceedance for this particular set of values. If, instead, this is a sample and you are trying to estimate something about a population, you'll need to provide the info that @Torsten mentions.
More Answers (1)
Torsten
on 12 Feb 2023
Edited: Torsten
on 12 Feb 2023
You will first have to tell us the type of distribution the values are supposed to follow (e.g. log-normal distribution).
After this, you will have to determine the parameters of this distribution from your measurement data.
After this, you will be able to plot a non-exceedance probability curve.
e.g.
Table = readtable("practice3.xlsx");
x = Table.values
params = mle(x,'Distribution','LogNormal')
hold on
y = linspace(0,max(x));
plot(y,logncdf(y,params(1),params(2)))
legend('Non-Exceedance Probability')
hold off
grid on
See Also
Categories
Find more on Creating and Concatenating Matrices in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!