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Products Software UncertaintyAnalyzer 3.0 Software Comparison Errors and Distributions

 

Identifying Error Sources and Distributions

 

Since measurement process errors are the basic elements of an uncertainty analysis, it is important to compare how the different software applications assist the user in identifying and describing them.

  

A in the cell indicates that the particular capability or feature is available.  Alternatively, a blank cell indicates that the capability or feature is not available.  Comments and footnotes are included to clarify significant differences between software applications or to provide necessary details.

 

Features

and

Capabilities

Uncertainty Calculator 3.2

Uncertainty

Sidekick

1.0

 

Assistant

2.3

Uncertainty

Sidekick

Pro 1.0

Uncertainty

Toolbox

2.8

Uncertainty

Analyzer

3.0

GUM

Workbench

1.3

Maximum

Number of

Error Sources

Allowed1

40

15

Over 1,000

25

25

Over 1,000

512

Identifies

Measurement

Process

Errors2

 

 

 

 

Available

Error

Distributions3

Normal

Rectangular

Triangular

U-Shaped

Student's t

Normal

Uniform

Student's t

Normal

Quadratic

Cosine

Trapezoidal

Uniform

Triangular

U-Shaped

Student's t

Normal

Lognormal

Exponential

Uniform

Student's t

Normal

Rectangular

Triangular

U-Shaped

Student's t

Normal

Lognormal

Exponential

Quadratic

Cosine

Uniform

Triangular

U-Shaped

Student's t

Normal

Trapezoidal

Rectangular

Triangular

U-Shaped

Student's t

Error

Distribution

Plots

       

Default

Distribution

Selection

Student's t

with

Degrees of

Freedom >100

 

 

 

 

 

Rectangular

Assistance in

Selecting

Appropriate

Distributions

 

 

 

 

Computation

of Bounding

Limits for

Distributions

 

 

 

 

 

 

 

1 All measurement process errors that can be defined and analyzed in templates, screens and worksheets.

2  Interactive procedure checklists and error source tables automatically include most commonly encountered measurement process errors such as operator bias, environmental factors error, and resolution error.  User defined error sources can also be included.

3  The uniform and rectangular distributions are the same statistical distribution.

 

 

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Page Updated February 12, 2015