OriginLab Corporation - Data Analysis and Graphing Software - 2D graphs, 3D graphs, Contour Plots, Statistical Charts, Data Exploration, Statistics, Curve Fitting, Signal Processing, and Peak Analysis                           
 

3.90 FAQ-328 How to perform distribution fit

Last Update: 10/13/2016

To perform distribution fit on data

Origin provides a tool to examine the distribution of data, and estimate parameters for the distribution. It is accessible from menu Statistics:Descriptive Statistics: Distribution Fit

The tool supports 5 continuous distribution and two discrete distribution

  • Normal
  • LogNormal
  • Weibull
  • Exponential
  • Gamma
  • Binomial
  • Poisson

Learn the detailed steps of using the tool from the tutorial: Distribution Fit

To perform distribution fit together with histogram

We provide another way to generate a histogram from your data and estimate the parameter of the distribution using the Maximum Likelihood Estimation

The method supports 6 continuous distribution and one discrete distribution.

  • Normal
  • LogNormal
  • Weibull
  • Exponential
  • Laplace
  • Lorentz
  • Poisson

Learn the detailed steps from the tutorial: Histogram with Distribution Curve overlay

To perform fit with PDF or CDF function on the binned data

However, if you want to fit with the user-defined probability density function(pdf) or cumulative distribution function(CDF), you can use Origin's nonlinear curve fitting tool. Learn the detailed steps from the tutorial: Distribution Fit with the Probability Density Function and Cumulative Distribution Function

Note: The method is not always recommended because the bin size and sample size affect the fitting results.



Keywords:distribution fit, histogram, Maximum Likelihood Estimation, overlay

 

© OriginLab Corporation. All rights reserved.