Weibull Analysis in Excel with UNISTAT
The UNISTAT statistics add-in extends Excel with Weibull Analysis capabilities.
For further information visit UNISTAT User's Guide section 9.3.5. Weibull Analysis.
Here we provide a sample output from the UNISTAT Excel statistics add-in for data analysis.
Weibull Analysis
Parameter Estimates
Data variable: Failure time
Number of Cases: 8
Median Rank Method: Exact Binomial
3-Parameter OLS Estimation
Regress Y on X
| Value | Lower 95% | Upper 95% | |
|---|---|---|---|
| Beta | 1.4466 | 0.8149 | 2.5682 |
| Eta | 143.7028 | 85.1939 | 242.3940 |
| Gamma | -15.9995 | ||
| Mean Failure Time | 130.3404 |
| Correlation Coefficient | 0.9976 |
|---|---|
| R-squared | 0.9952 |
Covariance Matrix
| Beta | Eta | |
|---|---|---|
| Beta | 0.1795 | 1.7235 |
| Eta | 1.7235 | 1469.3800 |
Interpolation
| Probability | Time | Lower 95% | Upper 95% |
|---|---|---|---|
| 0.632120558828558 | 143.7028 | 85.1939 | 242.3940 |
Weibull Analysis
Parameter Estimates
Data variable: Failure time
Number of Cases: 8
Median Rank Method: Exact Binomial
2-Parameter OLS Estimation
Regress Y on X
| Value | Lower 95% | Upper 95% | |
|---|---|---|---|
| Beta | 1.0688 | 0.5882 | 1.9421 |
| Eta | 125.3923 | 59.6319 | 263.6712 |
| Mean Failure Time | 122.1903 |
| Correlation Coefficient | 0.9917 |
|---|---|
| R-squared | 0.9835 |
Covariance Matrix
| Beta | Eta | |
|---|---|---|
| Beta | 0.1061 | -0.0079 |
| Eta | -0.0079 | 2261.1117 |
Interpolation
| Probability | Time | Lower 95% | Upper 95% |
|---|---|---|---|
| 0.632120558828558 | 125.3923 | 59.6319 | 263.6712 |
