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  • JMP Security Notice: CVE-2026-109618 and CVE-2026-109619

    JMP promptly initiated a review of its products, services, and relevant infrastructure for exposure to CVE-2026-109618 and CVE-2026-109619.

    Our assessment of JMP products has not identified exposure to these vulnerabilities. Where remediation was required within supporting environments, appropriate security updates and controls have been applied and validated.

    We have identified no evidence of successful exploitation or unauthorized access to JMP systems or customer information associated with these vulnerabilities.

    JMP continues to monitor the issue and relevant vendor guidance. No action is required by JMP customers at this time.

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Discussions

Solve problems, and share tips and tricks with other JMP users.
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marks
marks
Level I

Power Fit Equation for JMP

Oct 17, 2012 04:57 PM (13384 views)

I have data that follow a power law and I need to plot the regression and use the coefficients for lifetime calculations.  Is there a method, or script, developed to do this in JMP?

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Accepted Solutions
peterj
peterj
Level III
Solution

Re: Power Fit Equation for JMP

Mar 19, 2013 05:26 PM (15094 views)  |  Posted in reply to message from marks 10-17-2012

You can create a power model using the Analyze -> Modeling -> Non-linear. In the model library, select Model E (2P) to create the new formula for your prediction.

Attached is a script that creates some random data and will create a power fit through the data. In this example z=x^y and the fit is done accordingly.

View solution in original post

Power Fit Model Example.jsl.zip
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peterj
peterj
Level III
Solution

Re: Power Fit Equation for JMP

Mar 19, 2013 05:26 PM (15095 views)  |  Posted in reply to message from marks 10-17-2012

You can create a power model using the Analyze -> Modeling -> Non-linear. In the model library, select Model E (2P) to create the new formula for your prediction.

Attached is a script that creates some random data and will create a power fit through the data. In this example z=x^y and the fit is done accordingly.

Power Fit Model Example.jsl.zip
0 Kudos

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