reliability is a Python library for reliability engineering and survival analysis. It significantly extends the functionality of scipy.stats and also includes many specialist tools that are otherwise only available in proprietary software.
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Contents:
- API Reference
- ALT_fitters
- Fit_Everything_ALT
- Fit_Exponential_Dual_Exponential
- Fit_Exponential_Dual_Power
- Fit_Exponential_Exponential
- Fit_Exponential_Eyring
- Fit_Exponential_Power
- Fit_Exponential_Power_Exponential
- Fit_Lognormal_Dual_Exponential
- Fit_Lognormal_Dual_Power
- Fit_Lognormal_Exponential
- Fit_Lognormal_Eyring
- Fit_Lognormal_Power
- Fit_Lognormal_Power_Exponential
- Fit_Normal_Dual_Exponential
- Fit_Normal_Dual_Power
- Fit_Normal_Exponential
- Fit_Normal_Eyring
- Fit_Normal_Power
- Fit_Normal_Power_Exponential
- Fit_Weibull_Dual_Exponential
- Fit_Weibull_Dual_Power
- Fit_Weibull_Exponential
- Fit_Weibull_Eyring
- Fit_Weibull_Power
- Fit_Weibull_Power_Exponential
- Convert_data
- Datasets
- Distributions
- Fitters
- Fit_Beta_2P
- Fit_Everything
- Fit_Exponential_1P
- Fit_Exponential_2P
- Fit_Gamma_2P
- Fit_Gamma_3P
- Fit_Gumbel_2P
- Fit_Loglogistic_2P
- Fit_Loglogistic_3P
- Fit_Lognormal_2P
- Fit_Lognormal_3P
- Fit_Normal_2P
- Fit_Weibull_2P
- Fit_Weibull_2P_grouped
- Fit_Weibull_3P
- Fit_Weibull_CR
- Fit_Weibull_DS
- Fit_Weibull_DSZI
- Fit_Weibull_Mixture
- Fit_Weibull_ZI
- Nonparametric
- Other_functions
- PoF
- Probability_plotting
- Beta_probability_plot
- Exponential_probability_plot
- Exponential_probability_plot_Weibull_Scale
- Gamma_probability_plot
- Gumbel_probability_plot
- Loglogistic_probability_plot
- Lognormal_probability_plot
- Normal_probability_plot
- PP_plot_parametric
- PP_plot_semiparametric
- QQ_plot_parametric
- QQ_plot_semiparametric
- Weibull_probability_plot
- plot_points
- plotting_positions
- Reliability_testing
- Repairable_systems
- Utils
ALT_MLE_optimization
ALT_fitters_input_checking
ALT_least_squares()
ALT_prob_plot()
LS_optimization
MLE_optimization
anderson_darling()
axes_transforms
clean_CI_arrays()
colorprint()
distribution_confidence_intervals
distributions_input_checking()
extract_CI()
fill_no_autoscale()
fitters_input_checking
generate_X_array()
get_axes_limits()
least_squares()
life_stress_plot()
line_no_autoscale()
linear_regression()
make_fitted_dist_params_for_ALT_probplots
no_reverse()
probability_plot_xylims()
probability_plot_xyticks()
removeNaNs()
reshow_figure()
restore_axes_limits()
round_and_string()
transform_spaced()
unpack_single_arrays()
validate_CI_params()
write_df_to_xlsx()
xy_downsample()
xy_transform()
zeroise_below_gamma()
- ALT_fitters