Weibull++ Reference Examples: Difference between revisions
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These examples are intended to be used as a reference by organizations that need to validate Weibull++. | These examples are intended to be used as a reference by organizations that need to validate Weibull++. | ||
* Median Rank for Single Censored Data | * Median Rank for Single Censored Data | ||
* Median Rank for Multiple Censored Data | * Median Rank for Multiple Censored Data | ||
* Kaplan-Meier (K-M) for Multiple Censored Data | * Kaplan-Meier (K-M) for Multiple Censored Data | ||
* | * 2P-Weibull Rank Regression | ||
* | * 3P-Weibull Rank Regression | ||
* | * 1P-Exponential MLE Solution for Interval Data | ||
* | * 1P- Exponential MLE Solution with Right Censored Data | ||
* 1P-Exponential Data Analysis with No Failures | |||
* Lognormal MLE with Fisher Matrix Bound for Right Censored Data | |||
* 2P-Weibull MLE with Likelihood Ratio Bound for Multiple Right Censored Data | |||
* 1P-Weibull MLE for Multiple Right Censored Data | |||
* 1P-Weibull with Zero Failure Data | |||
* Gamma Distribution with MLE Solution | |||
* Generalized Gamma Distribution with MLE Solution | |||
* Weibull-Bayesian with Prior Information on Beta | |||
* Competing Failure Modes with Weibull Distribution | |||
* Normal Distribution Variance and Covariance Matrix with ML Estimates | |||
* The ML Estimate for the Parameter of a Rayleigh Distribution (1P-Weibull with Beta=2) | |||
* Non-Linear Regression Using the Equation Fit Solver Tool | |||
* Degradation Data Analysis with a Power Regression Model | |||
* Degradation Data Analysis with a Linear Regression Model | |||
* Non-Parametric Binomial Reliability Demonstration Test | |||
* Parametric Binomial Reliability Demonstration Test | |||
* Exponential Chi-Squared Reliability Demonstration Test | |||
* Stress-Strength Interference | |||
* Warranty Data Analysis | |||
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Revision as of 17:37, 27 May 2014
This section compares examples from popularly used textbooks with the calculations in Weibull++. In most cases, the detailed calculations are not provided. Only the final results from the textbooks and Weibull++ are compared. Detailed step-by-step calculation results are provided only when they are needed.
These examples are intended to be used as a reference by organizations that need to validate Weibull++.
- Median Rank for Single Censored Data
- Median Rank for Multiple Censored Data
- Kaplan-Meier (K-M) for Multiple Censored Data
- 2P-Weibull Rank Regression
- 3P-Weibull Rank Regression
- 1P-Exponential MLE Solution for Interval Data
- 1P- Exponential MLE Solution with Right Censored Data
- 1P-Exponential Data Analysis with No Failures
- Lognormal MLE with Fisher Matrix Bound for Right Censored Data
- 2P-Weibull MLE with Likelihood Ratio Bound for Multiple Right Censored Data
- 1P-Weibull MLE for Multiple Right Censored Data
- 1P-Weibull with Zero Failure Data
- Gamma Distribution with MLE Solution
- Generalized Gamma Distribution with MLE Solution
- Weibull-Bayesian with Prior Information on Beta
- Competing Failure Modes with Weibull Distribution
- Normal Distribution Variance and Covariance Matrix with ML Estimates
- The ML Estimate for the Parameter of a Rayleigh Distribution (1P-Weibull with Beta=2)
- Non-Linear Regression Using the Equation Fit Solver Tool
- Degradation Data Analysis with a Power Regression Model
- Degradation Data Analysis with a Linear Regression Model
- Non-Parametric Binomial Reliability Demonstration Test
- Parametric Binomial Reliability Demonstration Test
- Exponential Chi-Squared Reliability Demonstration Test
- Stress-Strength Interference
- Warranty Data Analysis
Due to continuous improvement in ReliaSoft software, the product images and step-by-step instructions featured in these resources may not always show the latest software version. Please visit www.hbkworld.com for the latest product info.