Weibull++ Reference Examples: Difference between revisions
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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++. | 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++. | ||
Revision as of 22:49, 28 May 2014
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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++.
Life Data Analysis
- 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)
Degradation Analysis
- Degradation Data Analysis with a Power Regression Model
- Degradation Data Analysis with a Linear Regression Model
Warranty Analysis
- Warranty Data Analysis
Reliability Demonstration Test
- Non-Parametric Binomial Reliability Demonstration Test
- Parametric Binomial Reliability Demonstration Test
- Exponential Chi-Squared Reliability Demonstration Test
Related Utilities
- Stress-Strength Interference
- Non-Linear Regression Using the Equation Fit Solver Tool
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.
