Comments (1)
Mean time to failure is identical to the mean of a distribution.
You can obtain the mean from a distribution object using ".mean"
For example "Weibull_Distribution(alpha=50,beta=2).mean"
In addition to the mean there are many other properties you can access, as detailed here:
https://reliability.readthedocs.io/en/latest/Creating%20and%20plotting%20distributions.html
Please do not use GitHub issues to ask questions on how to use the library. Issues are for bugs or enhancements.
Questions on how to use the library are welcome via email to [email protected] as detailed here: https://reliability.readthedocs.io/en/latest/How%20to%20get%20help.html
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Related Issues (20)
- [BUG] - description here HOT 1
- [BUG] - description here
- Strage results from `Fit_Weibull_3P` HOT 3
- MCF Parametric graph feature addition like legends and titles on axis HOT 1
- [BUG] - Cannot replicate the results from example - Fitting all available distributions to data HOT 1
- [BUG] - Proportions sum to 1 Mixture_model HOT 1
- [BUG] - parameters alpha, beta, gamma returned in Fit_Gamma_3P are not the same of Gamma_Distribution? HOT 1
- How to use reliability package to answer if test time can be reduced or should be augmented HOT 2
- [BUG] - force_beta is inversed when using RRX in Fit_Weibull_2P HOT 1
- [BUG] - Problem with matplotlib-3.7.0 HOT 1
- [BUG] - AttributeError: 'Line2D' object has no property 'ci_y' HOT 3
- [BUG] - AttributeError: 'Line2D' object has no property 'quantiles' HOT 1
- BUG about accelerated life experiment module HOT 10
- [BUG] - ALT_fitters.py IndexError: list index out of range HOT 3
- [BUG] - float128 and complex256 HOT 2
- RankAdjustment HOT 1
- [BUG] - A minor problem in Reliability_testing.chi2test related to numpy.histogram HOT 1
- [BUG] - Stress - Strength Interference Erroneous Result HOT 3
- FitEverything example error HOT 1
- [BUG] - Stress-Strength Mixture_Model and Loglogistic errors HOT 1
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