Life Data Analysis for Reliability Engineers - Weibull Analysis, Detailed Plots, Compute Statistics
Project description
predictr - Predict the Reliability
predictr: predict + reliability, in other words: A tool to predict the reliability.
The aim of this package is to provide state of the art tools for all kinds of Weibull analyses.
predictr already includes many methods (see list below). A guideline on when to use which method will be added soon.
Main Features
Parameter Estimation
- Uncensored two-parameter Weibull distribution
- Type I and type II right-censored two-parameter Weibull distribution
- Bx-life calculator
- Maximum Likelihood Estimation (MLE)
- Median Rank Regression (MRR)
Bias-correction methods
- C4 method (reduced bias adjustment)
- Hirose and Ross method
- Non-Parametric Bootstrap correction (mean, median, trimmed mean)
- Parametric Bootstrap correction (mean, median, trimmed mean)
Confidence bounds
- Beta-Binomial Bounds
- Monte-Carlo Pivotal Bounds
- Non-Parametric Bootstrap Bounds
- Parametric Bootstrap Bounds
- Fisher Bounds
- Likelihood Ratio Bounds
Plots
- Weibull Probability Plots with all needed information on them
- Multiple Weibull plots in one figure
- Contour plots
Important Links
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
predictr-0.1.27.tar.gz
(7.6 MB
view hashes)
Built Distribution
predictr-0.1.27-py3-none-any.whl
(23.1 kB
view hashes)
Close
Hashes for predictr-0.1.27-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7077ee4c2b9494aba3297cd4994845dabcf0361e1086957c0a32c58bbd83481b |
|
| MD5 | 7a845319ad180c79a30a8194386b40e6 |
|
| BLAKE2b-256 | 02b42192fabd27be28053496a1c28ecc62e8a6cf22a6ef93d064a2db16551182 |
