In an m-failure test plan, the test is successful if no more than m failures occur. For example, if m = 3, a test passes if 0, 1, 2, or
3 failures occur among N identical
systems that are tested independently and have the same failure distribution.
Assumptions of the m-failure test plan:
· For
the Weibull distribution, you know the shape parameter and wish to demonstrate
the scale parameter.
· For
the exponential distribution, you wish to demonstrate the scale parameter.
The shape parameter is one.
· For
the extreme value, normal, lognormal, logistic, and loglogistic distributions,
you know the scale parameter and wish to demonstrate the location parameter.
For more information, see Choosing
between a 0-failure and m-failure test.