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
x = 10×1
450 1100 1060 700 350 80 2310 2000 370 50

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the cyclist
the cyclist el 12 de Feb. de 2023
Editada: the cyclist el 12 de Feb. de 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
x = 10×1
450 1100 1060 700 350 80 2310 2000 370 50
nonExceedanceProbability = sum(x'<=x,2)/numel(x)
nonExceedanceProbability = 10×1
0.5000 0.8000 0.7000 0.6000 0.3000 0.2000 1.0000 0.9000 0.4000 0.1000
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.

Más respuestas (1)

Torsten
Torsten el 12 de Feb. de 2023
Editada: Torsten el 12 de Feb. de 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
x = 10×1
450 1100 1060 700 350 80 2310 2000 370 50
params = mle(x,'Distribution','LogNormal')
params = 1×2
6.2041 1.2021
hold on
y = linspace(0,max(x));
plot(y,logncdf(y,params(1),params(2)))
legend('Non-Exceedance Probability')
hold off
grid on
  1 comentario
Macy
Macy el 13 de Feb. de 2023
Thank you, I was looking for a command that would help me find emprical non-exeedance values, but this was going to be my second question which you answered.

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