Hinweis：Dieser Abschnitt ist nur in englischer Sprache verfügbar. Wir bitten um Ihr Verständnis.

2.76.2 Identify Data Distribution

Contents

More information:

Introduction

With the Identify Data Distribution tool, we can

  • Examine the distribution of your data, and estimate parameters for the distribution
  • Compare the distributions to determine which is the best fit
  • Perform transformation for your data to make your data closely resemble a normal distribution.

Origin provides 15 distributions and 3 transformation functions in this tool

Distributions

Symmetric
Normal Logistic
Normal PDF.png
Logistic PDF.png
Asymmetric
Lognormal

3-Parameter-Lognormal

Log-logistic Weibull

3-Parameter Weibull

Gamma Rayleigh
Lognormal PDF.png
Log-logistic.png
Weibull PDF.png
Gamma PDF.png
Rayleigh PDF.png
Special
Smallest Extreme Value Largest Extreme Value Exponential

2-Parameter Exponential

Gaussian Mixture Folded Normal
Smallest Extreme Value PDF.png
Largest Extreme Value PDF.png
Exp PDF.png
Gaussian Mixture PDF.png
Folded Normal PDF.png

Transformation Functions

Box-Cox Transformation Yeo-Johnson Transformation Johnson Transformation

Processing

Select the icon to open dialog

IDD DUI.png

Choose Distribution/Transformations

IDD Distribution.png

Specify the distribution or transformation methods in the Distribution tab of the dialog. There are 15 distributions and 3 transformation methods in the list.

If selecting All in the Number of Distributions and Transformations dropdown list, all 18 models will be performed on data. Or, you can specify up to 4 models to be fit on your data.

If you select All or specify a transformation method, you can further specify the settings of transformations methods in the corresponding tab in the dialog