Logistic Confidence Bounds Example: Difference between revisions
Jump to navigation
Jump to search
Kate Racaza (talk | contribs) (Created page with '<noinclude>{{Banner RGA Examples}} ''This example appears in the Reliability Growth and Repairable System Analysis Reference book''. </noinclude> For the data given…') |
Lisa Hacker (talk | contribs) No edit summary |
||
(3 intermediate revisions by 2 users not shown) | |||
Line 1: | Line 1: | ||
<noinclude>{{Banner RGA Examples}} | <noinclude>{{Banner RGA Examples}} | ||
''This example appears in the [ | ''This example appears in the [https://help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis Reliability growth reference]''. | ||
</noinclude> | </noinclude> | ||
For the data given <noinclude>in the [[Reliability Data - Logistic Model]] example</noinclude><includeonly>above for the reliability data example</includeonly>, calculate the 2-sided 90% confidence bounds under the Logistic model for the following: | For the data given <noinclude>in the [[Reliability Data - Logistic Model]] example</noinclude><includeonly>above for the reliability data example</includeonly>, calculate the 2-sided 90% confidence bounds under the Logistic model for the following: | ||
#The parameters <math>b\,\!</math> and <math>k\,\!</math>. | |||
#Reliability at month 5. | |||
'''Solution''' | '''Solution''' | ||
<ol> | |||
<li>The values of <math>\hat{b}\,\!</math> and <math>\hat{k}\,\!</math> that were estimated from the least squares analysis in the reliability data example are: | |||
:<math>\begin{align} | |||
\widehat{b}= & 3.3991 \\ | \widehat{b}= & 3.3991 \\ | ||
\widehat{\alpha }= & 0.7398 | \widehat{\alpha }= & 0.7398 | ||
\end{align}\,\!</math> | \end{align}\,\!</math> | ||
Thus, the 2-sided 90% confidence bounds on parameter <math>b\,\!</math> are: | |||
:<math>\begin{align} | |||
{{b}_{lower}}= & 2.5547 \\ | {{b}_{lower}}= & 2.5547 \\ | ||
{{b}_{upper}}= & 4.5225 | {{b}_{upper}}= & 4.5225 | ||
\end{align}\,\!</math> | \end{align}\,\!</math> | ||
The 2-sided 90% confidence bounds on parameter <math>k\,\!</math> are: | |||
:<math>\begin{align} | |||
{{k}_{lower}}= & 0.6798 \\ | {{k}_{lower}}= & 0.6798 \\ | ||
{{k}_{upper}}= & 0.7997 | {{k}_{upper}}= & 0.7997 | ||
\end{align}\,\!</math> | \end{align}\,\!</math> | ||
</li> | |||
<li>First, calculate the reliability estimation at month 5: | |||
:<math>\begin{align} | |||
{{R}_{5}}= & \frac{1}{1+b{{e}^{-5k}}} \\ | {{R}_{5}}= & \frac{1}{1+b{{e}^{-5k}}} \\ | ||
= & 0.9224 | = & 0.9224 | ||
\end{align}\,\!</math> | \end{align}\,\!</math> | ||
Thus, the 2-sided 90% confidence bounds on reliability at month 5 are: | |||
::<math>\begin{align} | ::<math>\begin{align} | ||
Line 50: | Line 45: | ||
{{[{{R}_{5}}]}_{upper}}= & 0.9955 | {{[{{R}_{5}}]}_{upper}}= & 0.9955 | ||
\end{align}\,\!</math> | \end{align}\,\!</math> | ||
The next figure shows a graph of the reliability plotted with 2-sided 90% confidence bounds. | The next figure shows a graph of the reliability plotted with 2-sided 90% confidence bounds. | ||
[[Image:rga8.6.png|center| | [[Image:rga8.6.png|center|450px]] | ||
</li> | |||
</ol> |
Latest revision as of 21:17, 18 September 2023
New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images and more targeted search.
As of January 2024, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest references at RGA examples and RGA reference examples.
This example appears in the Reliability growth reference.
For the data given in the Reliability Data - Logistic Model example, calculate the 2-sided 90% confidence bounds under the Logistic model for the following:
- The parameters [math]\displaystyle{ b\,\! }[/math] and [math]\displaystyle{ k\,\! }[/math].
- Reliability at month 5.
Solution
- The values of [math]\displaystyle{ \hat{b}\,\! }[/math] and [math]\displaystyle{ \hat{k}\,\! }[/math] that were estimated from the least squares analysis in the reliability data example are:
- [math]\displaystyle{ \begin{align} \widehat{b}= & 3.3991 \\ \widehat{\alpha }= & 0.7398 \end{align}\,\! }[/math]
- [math]\displaystyle{ \begin{align} {{b}_{lower}}= & 2.5547 \\ {{b}_{upper}}= & 4.5225 \end{align}\,\! }[/math]
- [math]\displaystyle{ \begin{align} {{k}_{lower}}= & 0.6798 \\ {{k}_{upper}}= & 0.7997 \end{align}\,\! }[/math]
- First, calculate the reliability estimation at month 5:
- [math]\displaystyle{ \begin{align} {{R}_{5}}= & \frac{1}{1+b{{e}^{-5k}}} \\ = & 0.9224 \end{align}\,\! }[/math]
- [math]\displaystyle{ \begin{align} {{[{{R}_{5}}]}_{lower}}= & 0.8493 \\ {{[{{R}_{5}}]}_{upper}}= & 0.9955 \end{align}\,\! }[/math]