2-Subpopulation Mixed Weibull Example: Difference between revisions

From ReliaWiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 4: Line 4:
|}
|}


We will illustrate mixed Weibull analysis using a Monte Carlo generated set of data. To repeat this example, generate data from a two-parameter Weibull distribution, using the Weibull++ Monte Carlo data window. The following figures illustrate the required steps, inputs and results.
We will illustrate mixed Weibull analysis using a set of simulated data. To repeat this example, first use the Monte Carlo utility to generate two sub-populations of data using a two-parameter Weibull distribution. Then analyze the data in a standard folio. The required steps, inputs and results are described below.


In the Monte Carlo window, enter the values and select the options shown below for subpopulation 1.
In the Monte Carlo window, enter the values and select the options shown below for subpopulation 1.


[[Image:Mixed Weibull Example 1 Simulation Sub1.png|thumb|center|400px| ]]  
[[Image:Mixed Weibull Example 1 Simulation Sub1.png|thumb|center|400px| ]]  


Switch to subpopulation 2 and make the selection shown below. Click Generate.  
Switch to subpopulation 2 and make the selection shown below.


[[Image: Mixed Weibull Example 1 Simulation Sub2.png|thumb|center|400px| ]]  
[[Image: Mixed Weibull Example 1 Simulation Sub2.png|thumb|center|400px| ]]  
Line 18: Line 18:
[[Image:Mixed Weibull Example 1 Simulation Settings.png|thumb|center|400px| ]]  
[[Image:Mixed Weibull Example 1 Simulation Settings.png|thumb|center|400px| ]]  


After the data has been generated, choose the 2 Subpop-Mixed Weibull distribution. Click the '''Calculate icon'''.    
Click '''Generate'''. After the data has been generated, choose the 2 Subpop-Mixed Weibull distribution in the standard folio and click the '''Calculate''' icon.    


The results for subpopulation 1 are shown next. (Note that your results could be different due to the randomness of the simulation.)
The results for subpopulation 1 are shown next.


[[Image:Mixed Weibull Example 1 Sub1 Result.png.png|thumb|center|400px| ]]  
[[Image:Mixed Weibull Example 1 Sub1 Result.png.png|thumb|center|400px| ]]  


The results for subpopulation 2 are shown next (Note that your results could be different due to the randomness of the simulation.)
The results for subpopulation 2 are shown next.


[[Image:Mixed Weibull Example 1 Sub2 Result.png|thumb|center|400px| ]]  
[[Image:Mixed Weibull Example 1 Sub2 Result.png|thumb|center|400px| ]]  


The Weibull probability plot for this data is shown next (Note that your results could be different due to the randomness of the simulation.)
The Weibull probability plot for this data is shown next.


[[Image:Mixed Weibull Example 1 Plot.png|thumb|center|400px| ]]
[[Image:Mixed Weibull Example 1 Plot.png|thumb|center|400px| ]]

Revision as of 20:57, 3 May 2012

Weibull-Examples-banner.png

We will illustrate mixed Weibull analysis using a set of simulated data. To repeat this example, first use the Monte Carlo utility to generate two sub-populations of data using a two-parameter Weibull distribution. Then analyze the data in a standard folio. The required steps, inputs and results are described below.

In the Monte Carlo window, enter the values and select the options shown below for subpopulation 1.

Mixed Weibull Example 1 Simulation Sub1.png

Switch to subpopulation 2 and make the selection shown below.

Mixed Weibull Example 1 Simulation Sub2.png

The simulation settings are:

Mixed Weibull Example 1 Simulation Settings.png

Click Generate. After the data has been generated, choose the 2 Subpop-Mixed Weibull distribution in the standard folio and click the Calculate icon.

The results for subpopulation 1 are shown next.

Mixed Weibull Example 1 Sub1 Result.png.png

The results for subpopulation 2 are shown next.

Mixed Weibull Example 1 Sub2 Result.png

The Weibull probability plot for this data is shown next.

Mixed Weibull Example 1 Plot.png