turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- I have a mixed level DOE with a failure rate as a ...

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 2, 2016 6:27 AM
(533 views)

Hello,

I am still learning jmp... Does the response have to fit a normal distribution or can it be log normal? The data is interval censored if that help or hinders answers. Any help would be appreciated.

thanks

Joe

4 REPLIES

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 2, 2016 9:49 AM
(407 views)

A response's distribution is what it is...not much you can do about that. What you can control is the modeling procedures and techniques you use to analyze your empirical results. An assumption that is kind of crucial for the magic of ordinary least squares (we call it Standard Least Squares in JMP) regression to work properly is a normal distribution of errors for the response. Often times this assumption isn't one that matches a response set. Sounds like yours is an example of that case. But all is not lost...when the normality of errors assumption isn't met...usually the path is either:

1. Transform the response or;

2. Use an alternative modeling procedure or;

3. A mix of both 1. and 2. above.

From what little you've shared about your practical problem above...it sounds like you might be appropriate to fit some kind of degradation model? If that's the case you might want to check out JMP's Degradation and/or Destructive Degradation platforms. These platforms provide some easy means to transform a response, fit some classic or commonly encountered degradation models, censoring, including JMP's hallmark prediction profilers too.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 2, 2016 12:37 PM
(407 views)

Thanks Peter for the response,

The variables are all categorical as shown in the table below:

Primary | | | | | |

Variables | | | | | |

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 2, 2016 1:03 PM
(407 views)

let me try again

Thanks Peter for the response,

The variables are all categorical as shown in the table below:

Primary | | | | | |

Variables | | | | | |

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Mar 2, 2016 4:49 PM
(407 views)