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Do you have customers using JMP Pro's bootstrapping capabilities? I want to hear stories of applications

wendytseng

I have a customer who is interested in learning how others are applying this. This customer came across a Discovery paper from Tucson "Finding Needles in a Haystack: Variable Selection for Models" and is curious about other real-world applications of this utility. Thank you in advance.

Accepted answers

Daniel_Valente

Sorry Wendy, I read Bootstrap Forest, but I see you mean bootstrapping.

This is great paper, too, from Gotwalt et al.:

https://arxiv.org/pdf/1808.08199.pdf

With some use-cases explained.

Discovery paper as well: Applications of the Fractional-Random-Weight Bootstrap

Jason_Wiggins

Mia and Phil Ramsey have a discovery paper that I enjoyed Bootstrapping Using JMP® Pro with Applications to Six Sigma Projects and Academic Statistics Courses

All comments

Daniel_Valente

Wendy –
Have you seen this whitepaper from ST Micro?
https://www.jmp.com/en_us/whitepapers/jmp/bootstrap-forest-yield-analysis.html

Jason_Wiggins

What bootstrap functionality are you interested in? The ST Micro example Dan mentioned is great for Bootstrap Forest. You can also bootstrap just about anything in an analysis report with a right mouse click -parameter estimates, statistics, etc. This is a cool way to demonstrate sampling distributions. Medtronic Tempe is considering Pro because you can bootstrap parameter estimates in a reliability problem.

Daniel_Valente

Sorry Wendy, I read Bootstrap Forest, but I see you mean bootstrapping.

This is great paper, too, from Gotwalt et al.:

https://arxiv.org/pdf/1808.08199.pdf

With some use-cases explained.

Discovery paper as well: Applications of the Fractional-Random-Weight Bootstrap

Jason_Wiggins

Mia and Phil Ramsey have a discovery paper that I enjoyed Bootstrapping Using JMP® Pro with Applications to Six Sigma Projects and Academic Statistics Courses

wendytseng

@Jason_Wiggins I am interested in hearing more about the use of bootstrapping parameter estimates in the reliability problem. What is primary reason why they do this?