1 / 8

Probability Plot Examples

Probability Plot Examples. Jake Blanchard Spring 2008. Making Your Own Prob Plots. Sort data Formulate CDF Linearize distribution for CDF Fit to straight line Plot both. An Example (7.4 from text). Exponential Distribution Slope is . Code. data =[blah blah ]; data=sort(data);

tareq
Download Presentation

Probability Plot Examples

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Probability Plot Examples Jake Blanchard Spring 2008 Uncertainty Analysis for Engineers

  2. Making Your Own Prob Plots • Sort data • Formulate CDF • Linearize distribution for CDF • Fit to straight line • Plot both Uncertainty Analysis for Engineers

  3. An Example (7.4 from text) • Exponential Distribution • Slope is  Uncertainty Analysis for Engineers

  4. Code data=[blah blah]; data=sort(data); n=numel(data); for i=1:n plotcdf(i)=-log(1-i/n); end data=data(1:n-1); plotcdf=plotcdf(1:n-1); p=polyfit(data,plotcdf,1); f=polyval(p,data); plot(data,plotcdf,'x',data,f) slope=p(1) invslope=1/slope Uncertainty Analysis for Engineers

  5. Plot Uncertainty Analysis for Engineers

  6. Example 7.5 • Gumbel Extreme Value • Slope= • Intercept=u Uncertainty Analysis for Engineers

  7. Code data=[blah blah]; n=numel(data); for i=1:n plotcdf(i)=-log(-log(i/n)); end data=data(1:n-1); plotcdf=plotcdf(1:n-1); p=polyfit(data,plotcdf,1); f=polyval(p,data); plot(data,plotcdf,'x',data,f) slope=p(1) Uncertainty Analysis for Engineers

  8. Plot Uncertainty Analysis for Engineers

More Related