Hello everyone
I have a sample of percentile values that describe the distribution of possible earthquake acceleration levels that lead to the failure of a building component. I would like to fit a nonparametric model to these data. I know that, for a random sample of these earthquake acceleration levels, I coiuld fit a nonparametric density using the the ksdensity function but is there a way to do a similar fit for the cumulative distribution function of this function?
Many thanks
Example data:
percentiles = [3 11 27 33 52 66 75 87 92];
acc = [0.3339 0.3595 0.4209 0.4283 0.4645 0.5010 0.5080 0.5713 0.6025];Hello everyone
I have a sample of percentile values that describe the distribution of possible earthquake acceleration levels that lead to the failure of a building component. I would like to fit a nonparametric model to these data. I know that, for a random sample of these earthquake acceleration levels, I coiuld fit a nonparametric density using the the ksdensity function but is there a way to do a similar fit for the cumulative distribution function of this function?
Many thanks
Example data:
percentiles = [3 11 27 33 52 66 75 87 92];
acc = [0.3339 0.3595 0.4209 0.4283 0.4645 0.5010 0.5080 0.5713 0.6025]; Hello everyone
I have a sample of percentile values that describe the distribution of possible earthquake acceleration levels that lead to the failure of a building component. I would like to fit a nonparametric model to these data. I know that, for a random sample of these earthquake acceleration levels, I coiuld fit a nonparametric density using the the ksdensity function but is there a way to do a similar fit for the cumulative distribution function of this function?
Many thanks
Example data:
percentiles = [3 11 27 33 52 66 75 87 92];
acc = [0.3339 0.3595 0.4209 0.4283 0.4645 0.5010 0.5080 0.5713 0.6025]; nonparametric distribution fitting, percentile data MATLAB Answers — New Questions

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