Gamma Distribution Example: Difference between revisions
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24 units were reliability tested, and the following life test data were obtained: | 24 units were reliability tested, and the following life test data were obtained: | ||
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|61 ||50||67||49||53||62 | |||
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|53||61||43||65||53||56 | |||
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|62||56||58||55||58||48 | |||
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Fitting the gamma distribution to this data, using maximum likelihood as the analysis method, gives the following parameters: | Fitting the gamma distribution to this data, using maximum likelihood as the analysis method, gives the following parameters: |
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This example appears in the Life Data Analysis Reference book.
24 units were reliability tested, and the following life test data were obtained:
61 | 50 | 67 | 49 | 53 | 62 |
53 | 61 | 43 | 65 | 53 | 56 |
62 | 56 | 58 | 55 | 58 | 48 |
44 | 48 | 58 | 43 | 40 |
Fitting the gamma distribution to this data, using maximum likelihood as the analysis method, gives the following parameters:
- [math]\displaystyle{ \begin{align} & \hat{\mu }= 7.72E-02 \\ & \hat{k}= 50.4908 \end{align}\,\! }[/math]
Using rank regression on [math]\displaystyle{ X,\,\! }[/math] the estimated parameters are:
- [math]\displaystyle{ \begin{align} & \hat{\mu }= 0.2915 \\ & \hat{k}= 41.1726 \end{align}\,\! }[/math]
Using rank regression on [math]\displaystyle{ Y,\,\! }[/math] the estimated parameters are:
- [math]\displaystyle{ \begin{align} & \hat{\mu }= 0.2915 \\ & \hat{k}= 41.1726 \end{align}\,\! }[/math]