How to interpret parameters for weibull

[#1]

I got this result in cumulative damage step stress - is b1 a threshold?

[#2]

Try going to the Tools and clicking on the "?" and then click on the table and it will display the help page for the report table.

[#3]

Are you using an Arrhenius transform? I think b0 and b1 are the intercept and slope for the linearization of the Alpha parameter of the Weibull distribution.

[#4]

No its a linear prediction

[#5 · Accepted solution]

Ok wait, maybe yes!  looks like the equation below matches and X is number of events? creating mu, which would be eta in the weibull distribution?

[#6]

X is your acceleration factor, e.g. temperature, voltage, etc.

If your "eta" is "alpha" on this page Statistical Details for Distributions , then exp(mu) is your "eta".

[#7 · Accepted solution]

Hi @StatsHeadache : this may be of some help.

https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/cumulative-damage-platform-options.sht...

In particular: 

Also see here: https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/statistical-details-for-distributions-...

[#8]

OK thats the best answer, but the slope is usually Beta, and perhaps intercept can be interpreted as threshold - that would work, that leave Eta usually described as scale factor as negative, which isn't possible.

Which leaves my best guess as:

b0 = eta

b1 = threshold (lambda)

beta = beta (slope)