8.
Assessing Product Reliability
8.2. Assumptions/Prerequisites 8.2.3. How can you test reliability model assumptions?


A Goodness of Fit test checks on whether your data are reasonable or highly unlikely, given an assumed distribution model  General tests for checking
the hypothesis that your data are consistent with a particular model are
discussed in Chapter 7. Details
and examples of the ChiSquare
Goodness of Fit test and the KolmolgorovSmirnov
(KS) test are given in Chapter 1. The ChiSquare test can be used
with Type I or Type II censored data and
readout data if there are enough failures and readout times. The KS
test generally requires complete samples, which limits its usefulness in
reliability analysis.
These tests control the probability of rejecting a valid model as follows:
