Distributions

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Distributions

 

The distribution types are used to show the type of variation. The following are the different types of distribution available.

 

See Also:

DE Focus Article - Issue 25: Normal, Uniform, Triangle, Rightskew, Leftskew, OpenUp, OpenDown

DE Focus Article - Issue 26: BiMode, Constant, Step, Weibull4, Modal, Pearson4

DE Focus Article - Issue 27: User-Defined;

 

Normal

Normal

Uniform

Uniform

Triangular

 

Triangle

BiMode

 

BiMode

Right Skew

RightSkew

Left Skew

LeftSkew

OpenUp

UpenUp

OpenDown

UpenDown

User Defined

UserDefined

Step

Step

Constant

Constant

Weibull4

 

Pearson4

 

Modal

Trapezoid

Power Function

 

hmtoggle_arrow1 Distributions

 

hmtoggle_arrow1 Step Distribution

 

hmtoggle_arrow1 Pearson4

 

hmtoggle_arrow1 User Defined

 

 

hmtoggle_arrow1 Trapezoid

 

hmtoggle_arrow0 Power Function

 

The Power Function Distribution (PFD) is a flexible distribution as it is able to model the various types of data.  It is usually used for the reliability analysis, life time and income distribution data.

 

Power function distribution formula is:

f(x) = cx^(c-1)/b^c

The range for x is between zero and b: 0 <= x <= b

c is the shape parameter. The default value for c is 0.5

b is the Range value from the tolerance dialog.