Histogram based on empirical cumulative distribution function

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Histogram based on empirical cumulative distribution function

2023-08-31 12:41| 来源: 网络整理| 查看: 265

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Generate right-censored survival data and compare the histogram from cumulative distribution function with the known probability distribution function.

Generate failure times from an exponential distribution with mean failure time of 15.

rng default; % For reproducibility y = exprnd(15,75,1);

Generate drop-out times from an exponential distribution with mean failure time of 30.

d = exprnd(30,75,1);

Record the minimum of these times as the observed failure times.

t = min(y,d);

Generate censoring by finding the generated failure times that are greater than the drop-out times.

censored = (y>d);

Calculate the empirical cdf and plot a histogram using the empirical cumulative distribution function.

[f,x] = ecdf(t,'censoring',censored); ecdfhist(f,x) h = findobj(gca,'Type','patch'); h.FaceColor = [.8 .8 1]; hold on

Superimpose a plot of the known population pdf.

xx = 0:.1:max(t); yy = exp(-xx/15)/15; plot(xx,yy,'r-','LineWidth',2) hold off

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Histogram based on empirical cumulative distribution function

Histogram based on empirical cumulative distribution function

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