Is there a function to determine the non-exceedance probability of each value in the table?
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Table = readtable("practice3.xlsx");
x = Table.values
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the cyclist
le 12 Fév 2023
Modifié(e) : the cyclist
le 12 Fév 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.
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Torsten
le 12 Fév 2023
Modifié(e) : Torsten
le 12 Fév 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
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