JMP 13.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 12 Online Documentation
Reliability and Survival Methods
•
Repairable Systems Simulation
•
Options for Block Items
• Specify a Nonparametric or Estimated Distribution
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Specify a Nonparametric or Estimated Distribution
The Nonparametric and Estimated options under Distribution enable you to approximate an arbitrary distribution. You can enter data manually or import a file that contains data. These data are used to approximate the distribution.
After selecting Nonparametric or Estimated, click the
icon next to Data. The Provide Data window appears, which enables you to either enter data or import a data file. After you have imported or entered your data, the data are used to calculate a distribution for the component.
Provide Data Window
To import data from a file, do the following:
1.
Before clicking the
icon, open the JMP data table that contains the data to import.
2.
Click the
icon next to Data.
3.
In the Provide Data window, click
Import
.
The Select Data Table window appears.
4.
From the Data Table list, select a data table.
5.
Click
OK
.
6.
In the panel beneath the data grid, specify the columns that represent Time to Event data.
7.
Specify Censor and Freq columns, if appropriate.
8.
In the Provide Data window, click
OK
.
To enter data manually, do the following:
1.
Create columns for Time to Event data.
2.
Create columns for Censor and Freq data, if appropriate.
3.
Enter the data in the columns.
4.
In the panel beneath the data grid, specify which columns represent Time to Event data, as well as Censor and Freq data if appropriate. See
step 5
and
step 6
above.
5.
In the Provide Data window, click
OK
.
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Help created on 9/19/2017