Finding Bestfit Distribution [image]

  • Context: Undergrad 
  • Thread starter Thread starter hoodrych
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SUMMARY

The discussion centers on finding the best fit distribution using CurveExpert and Excel. Users report challenges in obtaining results due to the absence of Y values, which is critical for the analysis. It is recommended to utilize a cumulative histogram to visualize data effectively, with the x-axis representing errors and the y-axis indicating frequency. CurveExpert is highlighted as a valuable tool for identifying best fit models, although users may encounter issues if the input data is incomplete.

PREREQUISITES
  • Familiarity with CurveExpert for statistical modeling
  • Understanding of cumulative histograms for data visualization
  • Basic knowledge of Excel for graphing
  • Concept of best fit models in statistical analysis
NEXT STEPS
  • Learn how to create cumulative histograms in Excel
  • Explore advanced features of CurveExpert for model fitting
  • Research best practices for preparing data for statistical analysis
  • Investigate common errors in CurveExpert and their solutions
USEFUL FOR

Data analysts, statisticians, and anyone involved in statistical modeling or data visualization using Excel and CurveExpert.

hoodrych
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I need to find the bestfit distribution for this. I'm using excel, so I need to be able to use xcel to graph it.


[PLAIN]http://img831.imageshack.us/img831/8770/unledcwx.png
 
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I use CurveExpert to find best fit models; give that a try. Then simply evaluate a few points from the model and plot them as separate data.
 
adoado said:
I use CurveExpert to find best fit models; give that a try. Then simply evaluate a few points from the model and plot them as separate data.


Maybe I'm using the program wrong (I don't think I am), but it's not coming up with any results.


I have no Y values, only X's, so that may be the problem? There are lots of errors for almost every test. And when I click the "scan for bestfit" button, the 20 or so different best fit models it tests all come up with a Score of 0.0.
 
As I said in the other thread, you should use a cumulative histogram of the data. The x-axis should be the errors and the y-axis should be the frequency.
 

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