![]() If the coefficient for the unknown category is significantly smaller than the next lower category or larger than the next higher category, then that factor in question cannot be quantified by the available data, and additional data are required before the factor can be fully evaluated (Standards Committee of the IEEE Reliability, 2010).Ī constant failure rate model for non-operating conditions can be extrapolated by eliminating all operation-related stresses from the handbook prediction models, such as temperature rise or electrical stress ratio. A regression factor can be calculated for each “missing” category, considering it a unique operational condition. To accommodate such data entries in the regression analysis, a separate “missing” category may be constructed for each potential factor when the required information is not available. The regression analysis does not ignore data entries that lack essential information, because the scarcity of data necessitates that all available data be used. The constant failure rate is then calculated using the regression formula and the input parameters. ![]() ![]() This is the step that involves the evaluation of the above π factors. The second step is to apply stepwise multiple linear regressions to the data, which express the constant failure rate as a function of the relevant independent variables and their respective coefficients.
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